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Skyvern/skyvern/core/script_generations/generate_script.py

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# skyvern_codegen_cst.py
"""
Generate a runnable Skyvern workflow script.
"""
from __future__ import annotations
import asyncio
import hashlib
import keyword
import re
from dataclasses import dataclass
from typing import Any
import libcst as cst
import structlog
from libcst import Attribute, Call, Dict, DictElement, FunctionDef, Name, Param
from skyvern.config import settings
from skyvern.core.script_generations.constants import SCRIPT_TASK_BLOCKS, SCRIPT_TASK_BLOCKS_WITH_COMPLETE_ACTION
from skyvern.core.script_generations.generate_workflow_parameters import (
CUSTOM_FIELD_ACTIONS,
generate_workflow_parameters_schema,
hydrate_input_text_actions_with_field_names,
)
from skyvern.forge import app
from skyvern.schemas.workflows import FileStorageType
from skyvern.webeye.actions.action_types import ActionType
LOG = structlog.get_logger(__name__)
GENERATE_CODE_AI_MODE_PROACTIVE = "proactive"
GENERATE_CODE_AI_MODE_FALLBACK = "fallback"
@dataclass
class ScriptBlockSource:
label: str
code: str
run_signature: str | None
workflow_run_id: str | None
workflow_run_block_id: str | None
input_fields: list[str] | None
def _build_existing_field_assignments(
blocks: list[dict[str, Any]],
actions_by_task: dict[str, list[dict[str, Any]]],
cached_blocks: dict[str, ScriptBlockSource],
updated_block_labels: set[str],
) -> dict[int, str]:
"""
Build a mapping of action index (1-based) to existing field names for unchanged blocks.
This is used to tell the LLM which field names must be preserved when regenerating
the workflow parameters schema, preventing schema mismatches with cached block code.
Args:
blocks: List of block dictionaries from the workflow
actions_by_task: Dictionary mapping task IDs to lists of action dictionaries
cached_blocks: Dictionary mapping block labels to their cached ScriptBlockSource
updated_block_labels: Set of block labels that have been updated (should not preserve)
Returns:
Dictionary mapping action index (1-based) to the existing field name that must be preserved
"""
# Build mapping of block label -> task_id
block_label_to_task_id: dict[str, str] = {}
for idx, block in enumerate(blocks):
if block.get("block_type") not in SCRIPT_TASK_BLOCKS:
continue
label = block.get("label") or block.get("title") or block.get("task_id") or f"task_{idx}"
task_id = block.get("task_id")
if task_id:
block_label_to_task_id[label] = task_id
# Build mapping of task_id -> list of existing field names (for unchanged blocks)
task_id_to_existing_fields: dict[str, list[str]] = {}
for label, cached_source in cached_blocks.items():
# Skip blocks that have been updated - they need new field names
if label in updated_block_labels:
continue
# Skip blocks without input_fields
if not cached_source.input_fields:
continue
# Find the task_id for this block
task_id = block_label_to_task_id.get(label)
if task_id:
task_id_to_existing_fields[task_id] = list(cached_source.input_fields)
# Now iterate through actions in the same order as generate_workflow_parameters_schema
# to build the action index -> field name mapping
existing_field_assignments: dict[int, str] = {}
action_counter = 1
# Track position within each task's field list
task_field_position: dict[str, int] = {}
for task_id, actions in actions_by_task.items():
for action in actions:
action_type = action.get("action_type", "")
if action_type not in CUSTOM_FIELD_ACTIONS:
continue
# Check if this task has existing field names to preserve
if task_id in task_id_to_existing_fields:
existing_fields = task_id_to_existing_fields[task_id]
position = task_field_position.get(task_id, 0)
if position < len(existing_fields):
existing_field_assignments[action_counter] = existing_fields[position]
task_field_position[task_id] = position + 1
action_counter += 1
return existing_field_assignments
# --------------------------------------------------------------------- #
# 1. helpers #
# --------------------------------------------------------------------- #
def sanitize_variable_name(name: str) -> str:
"""
Sanitize a string to be a valid Python variable name.
- Converts to snake_case
- Removes invalid characters
- Ensures it doesn't start with a number
- Handles Python keywords by appending underscore
- Removes empty spaces
"""
# Remove leading/trailing whitespace and replace internal spaces with underscores
name = name.strip().replace(" ", "_")
# Convert to snake_case: handle camelCase and PascalCase
name = re.sub(r"([a-z0-9])([A-Z])", r"\1_\2", name)
# Remove any characters that aren't alphanumeric or underscore
name = re.sub(r"[^a-zA-Z0-9_]", "_", name)
# Convert to lowercase
name = name.lower()
# Remove consecutive underscores
name = re.sub(r"_+", "_", name)
# Remove leading/trailing underscores
name = name.strip("_")
# Ensure it doesn't start with a number
if name and name[0].isdigit():
name = f"param_{name}"
# Handle empty string or invalid names
if not name or name == "_":
name = "param"
# Handle Python keywords
if keyword.iskeyword(name):
name = f"{name}_"
return name
ACTION_MAP = {
"click": "click",
"hover": "hover",
"input_text": "fill",
"upload_file": "upload_file",
"select_option": "select_option",
"goto": "goto",
"scroll": "scroll",
"keypress": "keypress",
"type": "type",
"move": "move",
"drag": "drag",
"solve_captcha": "solve_captcha",
"verification_code": "verification_code",
"wait": "wait",
"extract": "extract",
"complete": "complete",
"download_file": "download_file",
}
ACTIONS_WITH_XPATH = [
"click",
"hover",
"input_text",
"type",
"fill",
"upload_file",
"select_option",
]
ACTIONS_OPT_OUT_INTENTION_FOR_PROMPT = ["extract"]
INDENT = " " * 4
DOUBLE_INDENT = " " * 8
def _requires_mini_agent(act: dict[str, Any]) -> bool:
"""
Determine whether an input/select action should be forced into proactive mode.
Mirrors runtime logic that treats some inputs as mini-agent flows or TOTP-sensitive.
NOTE: Multi-field TOTP sequences do NOT require proactive mode because we use
get_totp_digit() to provide the exact digit value. Using proactive mode would
cause the AI to override our value with its own generated one.
"""
if act.get("has_mini_agent", False):
return True
# context = act.get("input_or_select_context") or {}
# if isinstance(context, dict) and any(
# context.get(flag) for flag in ("is_location_input", "is_date_related", "date_format")
# ):
# return True
# Multi-field TOTP sequences should NOT use proactive mode - we provide the
# exact digit via get_totp_digit() and want that value used directly
# if act.get("totp_timing_info") and act.get("totp_timing_info", {}).get("is_totp_sequence"):
# return True
return False
def _annotate_multi_field_totp_sequence(actions: list[dict[str, Any]]) -> list[dict[str, Any]]:
"""
Detect and annotate multi-field TOTP sequences in the action list.
Multi-field TOTP is when a 6-digit code needs to be split across 6 individual input fields.
This function identifies such sequences and adds totp_timing_info with the action_index
so that each field gets the correct digit (e.g., totp_code[0], totp_code[1], etc.).
Args:
actions: List of actions to analyze and annotate
Returns:
The same actions list with totp_timing_info added to multi-field TOTP actions
"""
if len(actions) < 4:
return actions
# Identify consecutive runs of single-digit TOTP inputs
# A multi-field TOTP sequence is 4+ consecutive INPUT_TEXT actions with single-digit text
# and the same field_name (typically 'totp_code')
consecutive_start = None
consecutive_count = 0
totp_field_name = None
for idx, act in enumerate(actions):
is_single_digit_totp = (
act.get("action_type") == ActionType.INPUT_TEXT
and act.get("field_name")
and act.get("text")
and len(str(act.get("text", ""))) == 1
and str(act.get("text", "")).isdigit()
)
if is_single_digit_totp:
current_field = act.get("field_name")
if consecutive_start is None:
# Start a new sequence
consecutive_start = idx
totp_field_name = current_field
consecutive_count = 1
elif current_field == totp_field_name:
# Same field, continue the sequence
consecutive_count += 1
else:
# Different field - finalize current sequence if valid, then start new one
if consecutive_count >= 4:
for seq_idx in range(consecutive_count):
actions[consecutive_start + seq_idx]["totp_timing_info"] = {
"is_totp_sequence": True,
"action_index": seq_idx,
"total_digits": consecutive_count,
"field_name": totp_field_name,
}
LOG.debug(
"Annotated multi-field TOTP sequence (field change)",
start_idx=consecutive_start,
count=consecutive_count,
field_name=totp_field_name,
)
# Start new sequence with different field
consecutive_start = idx
totp_field_name = current_field
consecutive_count = 1
else:
# End of consecutive sequence - check if it was a multi-field TOTP
if consecutive_count >= 4 and consecutive_start is not None:
# Annotate all actions in this sequence
for seq_idx in range(consecutive_count):
actions[consecutive_start + seq_idx]["totp_timing_info"] = {
"is_totp_sequence": True,
"action_index": seq_idx,
"total_digits": consecutive_count,
"field_name": totp_field_name,
}
LOG.debug(
"Annotated multi-field TOTP sequence for script generation",
start_idx=consecutive_start,
count=consecutive_count,
field_name=totp_field_name,
)
consecutive_start = None
consecutive_count = 0
totp_field_name = None
# Handle sequence at end of actions list
if consecutive_count >= 4 and consecutive_start is not None:
for seq_idx in range(consecutive_count):
actions[consecutive_start + seq_idx]["totp_timing_info"] = {
"is_totp_sequence": True,
"action_index": seq_idx,
"total_digits": consecutive_count,
"field_name": totp_field_name,
}
LOG.debug(
"Annotated multi-field TOTP sequence for script generation (at end)",
start_idx=consecutive_start,
count=consecutive_count,
field_name=totp_field_name,
)
return actions
def _safe_name(label: str) -> str:
s = "".join(c if c.isalnum() else "_" for c in label).lower()
if not s or s[0].isdigit() or keyword.iskeyword(s):
s = f"_{s}"
while "__" in s:
s = s.replace("__", "_")
return s
def _value(value: Any) -> cst.BaseExpression:
"""Convert simple Python objects to CST expressions."""
if isinstance(value, str):
if "\n" in value:
# For multi-line strings, use repr() which handles all escaping properly
# This will use triple quotes when appropriate and escape them when needed
return cst.SimpleString(repr(value))
return cst.SimpleString(repr(value))
if isinstance(value, (int, float, bool)) or value is None:
return cst.parse_expression(repr(value))
if isinstance(value, dict):
return Dict(
[
DictElement(
key=_value(k),
value=_value(v),
)
for k, v in value.items()
]
)
if isinstance(value, (list, tuple)):
elts = [cst.Element(_value(v)) for v in value]
return cst.List(elts) if isinstance(value, list) else cst.Tuple(elts)
# fallback
return cst.SimpleString(repr(str(value)))
def _render_value(
prompt_text: str | None = None,
data_variable_name: str | None = None,
render_func_name: str = "render_template",
) -> cst.BaseExpression:
"""Create a prompt value with template rendering logic if needed."""
if not prompt_text:
return cst.SimpleString("")
if "{{" in prompt_text and "}}" in prompt_text:
args = [cst.Arg(value=_value(prompt_text))]
if data_variable_name:
args.append(
cst.Arg(
keyword=cst.Name("data"),
value=cst.Name(data_variable_name),
)
)
return cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name(render_func_name)),
args=args,
)
else:
# Return the prompt as a simple string value
return _value(prompt_text)
# --------------------------------------------------------------------- #
# 2. utility builders #
# --------------------------------------------------------------------- #
def _workflow_decorator(wf_req: dict[str, Any]) -> cst.Decorator:
"""
Build @skyvern.workflow(
title="...", totp_url=..., totp_identifier=..., webhook_callback_url=..., max_steps=...
)
"""
# helper that skips “None” so the output is concise
def kw(key: str, value: Any) -> cst.Arg | None:
if value is None:
return None
return cst.Arg(keyword=cst.Name(key), value=_value(value))
args: list = list(
filter(
None,
[
kw("title", wf_req.get("title", "")),
kw("totp_url", wf_req.get("totp_url")),
kw("totp_identifier", wf_req.get("totp_identifier")),
kw("webhook_url", wf_req.get("webhook_url")),
kw("max_steps", wf_req.get("max_steps")),
],
)
)
return cst.Decorator(
decorator=cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("workflow")),
args=args,
)
)
def _make_decorator(block_label: str, block: dict[str, Any]) -> cst.Decorator:
kwargs = [
cst.Arg(
keyword=cst.Name("cache_key"),
value=_value(block_label),
)
]
return cst.Decorator(
decorator=Call(
func=Attribute(value=cst.Name("skyvern"), attr=cst.Name("cached")),
args=kwargs,
)
)
def _action_to_stmt(act: dict[str, Any], task: dict[str, Any], assign_to_output: bool = False) -> cst.BaseStatement:
"""
Turn one Action dict into:
await page.<method>(selector=..., prompt=..., data=context.parameters)
Or if assign_to_output is True for extract actions:
output = await page.extract(...)
"""
method = ACTION_MAP[act["action_type"]]
args: list[cst.Arg] = []
if method in ACTIONS_WITH_XPATH:
args.append(
cst.Arg(
keyword=cst.Name("selector"),
value=_value(f"xpath={act['xpath']}"),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if method == "click":
ai_mode = GENERATE_CODE_AI_MODE_PROACTIVE
click_context = act.get("click_context")
if click_context and isinstance(click_context, dict) and click_context.get("single_option_click"):
ai_mode = GENERATE_CODE_AI_MODE_FALLBACK
args.append(
cst.Arg(
keyword=cst.Name("ai"),
value=_value(ai_mode),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method == "hover":
hold_seconds = act.get("hold_seconds")
if hold_seconds and hold_seconds > 0:
args.append(
cst.Arg(
keyword=cst.Name("hold_seconds"),
value=_value(hold_seconds),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method in ["type", "fill"]:
# Use context.parameters if field_name is available, otherwise fallback to direct value
if act.get("field_name"):
# Check if this is a multi-field TOTP sequence that needs digit indexing
totp_info = act.get("totp_timing_info") or {}
if totp_info.get("is_totp_sequence") and "action_index" in totp_info:
# Generate: await page.get_totp_digit(context, 'field_name', digit_index)
# This method properly resolves the TOTP code from credentials and returns the specific digit
text_value = cst.Await(
expression=cst.Call(
func=cst.Attribute(
value=cst.Name("page"),
attr=cst.Name("get_totp_digit"),
),
args=[
cst.Arg(value=cst.Name("context")),
cst.Arg(value=_value(act["field_name"])),
cst.Arg(value=_value(totp_info["action_index"])),
],
)
)
else:
text_value = cst.Subscript(
value=cst.Attribute(
value=cst.Name("context"),
attr=cst.Name("parameters"),
),
slice=[cst.SubscriptElement(slice=cst.Index(value=_value(act["field_name"])))],
)
else:
text_value = _value(act["text"])
ai_mode = GENERATE_CODE_AI_MODE_FALLBACK
if _requires_mini_agent(act):
ai_mode = GENERATE_CODE_AI_MODE_PROACTIVE
args.append(
cst.Arg(
keyword=cst.Name("value"),
value=text_value,
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
args.append(
cst.Arg(
keyword=cst.Name("ai"),
value=_value(ai_mode),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if act.get("totp_code_required"):
if task.get("totp_identifier"):
args.append(
cst.Arg(
keyword=cst.Name("totp_identifier"),
value=_value(task.get("totp_identifier")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if task.get("totp_url"):
args.append(
cst.Arg(
keyword=cst.Name("totp_url"),
value=_value(task.get("totp_verification_url")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method == "select_option":
option = act.get("option", {})
value = option.get("value")
label = option.get("label")
value = value or label
if value:
# TODO: consider supporting fallback mode for select_option actions
# ai_mode = GENERATE_CODE_AI_MODE_FALLBACK
# if _requires_mini_agent(act):
ai_mode = GENERATE_CODE_AI_MODE_PROACTIVE
if act.get("field_name"):
option_value = cst.Subscript(
value=cst.Attribute(
value=cst.Name("context"),
attr=cst.Name("parameters"),
),
slice=[cst.SubscriptElement(slice=cst.Index(value=_value(act["field_name"])))],
)
else:
option_value = _value(value)
args.append(
cst.Arg(
keyword=cst.Name("value"),
value=option_value,
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
)
args.append(
cst.Arg(
keyword=cst.Name("ai"),
value=_value(ai_mode),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method == "upload_file":
if act.get("field_name"):
file_url_value = cst.Subscript(
value=cst.Attribute(
value=cst.Name("context"),
attr=cst.Name("parameters"),
),
slice=[cst.SubscriptElement(slice=cst.Index(value=_value(act["field_name"])))],
)
else:
file_url_value = _value(act["file_url"])
args.append(
cst.Arg(
keyword=cst.Name("files"),
value=file_url_value,
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
args.append(
cst.Arg(
keyword=cst.Name("ai"),
value=_value(GENERATE_CODE_AI_MODE_PROACTIVE),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method == "wait":
args.append(
cst.Arg(
keyword=cst.Name("seconds"),
value=_value(act["seconds"]),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method == "download_file":
args.append(
cst.Arg(
keyword=cst.Name("file_name"),
value=_value(act.get("file_name", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if act.get("download_url"):
args.append(
cst.Arg(
keyword=cst.Name("download_url"),
value=_value(act["download_url"]),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
elif method == "extract":
args.append(
cst.Arg(
keyword=cst.Name("prompt"),
value=_value(act["data_extraction_goal"]),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if act.get("data_extraction_schema"):
args.append(
cst.Arg(
keyword=cst.Name("schema"),
value=_value(act["data_extraction_schema"]),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
comma=cst.Comma(),
)
)
action_context = act.get("input_or_select_context")
if action_context and action_context.get("date_format") and method in ["type", "fill", "select_option"]:
date_format_value = action_context.get("date_format")
data = {"date_format": date_format_value}
args.append(
cst.Arg(
keyword=cst.Name("data"),
value=_value(data),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
intention = act.get("intention") or act.get("reasoning") or ""
if intention and method not in ACTIONS_OPT_OUT_INTENTION_FOR_PROMPT:
args.extend(
[
cst.Arg(
keyword=cst.Name("prompt"),
value=_value(intention),
whitespace_after_arg=cst.ParenthesizedWhitespace(indent=True),
comma=cst.Comma(),
),
]
)
_mark_last_arg_as_comma(args)
# Only use indented parentheses if we have arguments
if args:
call = cst.Call(
func=cst.Attribute(value=cst.Name("page"), attr=cst.Name(method)),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
else:
call = cst.Call(
func=cst.Attribute(value=cst.Name("page"), attr=cst.Name(method)),
args=args,
)
# await page.method(...)
await_expr = cst.Await(call)
# If this is an extract action and we want to assign to output
if assign_to_output and method == "extract":
# output = await page.extract(...)
assign = cst.Assign(
targets=[cst.AssignTarget(cst.Name("output"))],
value=await_expr,
)
return cst.SimpleStatementLine([assign])
else:
# Wrap in a statement line: await ...
return cst.SimpleStatementLine([cst.Expr(await_expr)])
def _collect_block_input_fields(
block: dict[str, Any],
actions_by_task: dict[str, list[dict[str, Any]]],
) -> list[str]:
"""
Gather the sequence of workflow parameter field names referenced by custom field actions within a block.
"""
task_id = block.get("task_id")
if not task_id:
return []
all_fields: list[str] = []
for action in actions_by_task.get(task_id, []):
action_type = action.get("action_type")
# Keep in sync with CUSTOM_FIELD_ACTIONS used for schema generation
if action_type not in CUSTOM_FIELD_ACTIONS:
continue
field_name = action.get("field_name")
if not field_name or not isinstance(field_name, str):
continue
all_fields.append(field_name)
return all_fields
def _build_block_fn(block: dict[str, Any], actions: list[dict[str, Any]]) -> FunctionDef:
name = _safe_name(block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}")
cache_key = block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}"
body_stmts: list[cst.BaseStatement] = []
# Detect and annotate multi-field TOTP sequences so each fill gets the correct digit index
actions = _annotate_multi_field_totp_sequence(actions)
if block.get("url"):
body_stmts.append(cst.parse_statement(f"await page.goto({repr(block['url'])})"))
for act in actions:
if act["action_type"] in [
ActionType.COMPLETE,
ActionType.TERMINATE,
ActionType.NULL_ACTION,
]:
continue
# For extraction blocks, assign extract action results to output variable
assign_to_output = act["action_type"] == "extract"
body_stmts.append(_action_to_stmt(act, block, assign_to_output=assign_to_output))
# add complete action
block_type = block.get("block_type")
if block_type in SCRIPT_TASK_BLOCKS_WITH_COMPLETE_ACTION:
complete_action = {"action_type": "complete"}
body_stmts.append(_action_to_stmt(complete_action, block))
# For extraction blocks, add return output statement if we have actions
if any(
act["action_type"] == "extract"
for act in actions
if act["action_type"] not in [ActionType.COMPLETE, ActionType.TERMINATE, ActionType.NULL_ACTION]
):
body_stmts.append(cst.parse_statement("return output"))
elif not body_stmts:
body_stmts.append(cst.parse_statement("return None"))
return FunctionDef(
name=Name(name),
params=cst.Parameters(
params=[
Param(name=Name("page"), annotation=cst.Annotation(cst.Name("SkyvernPage"))),
Param(name=Name("context"), annotation=cst.Annotation(cst.Name("RunContext"))),
]
),
decorators=[_make_decorator(cache_key, block)],
body=cst.IndentedBlock(body_stmts),
returns=None,
asynchronous=cst.Asynchronous(),
)
def _build_task_v2_block_fn(block: dict[str, Any], child_blocks: list[dict[str, Any]]) -> FunctionDef:
"""Build a cached function for task_v2 blocks that calls child workflow sub-tasks."""
cache_key = block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}"
name = _safe_name(block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}")
body_stmts: list[cst.BaseStatement] = []
# Add calls to child workflow sub-tasks
has_extract_block = False
for child_block in child_blocks:
is_extract_block = child_block.get("block_type") == "extraction"
if is_extract_block:
has_extract_block = True
stmt = _build_block_statement(child_block, assign_output=is_extract_block)
body_stmts.append(stmt)
if not body_stmts:
body_stmts.append(cst.parse_statement("return None"))
elif has_extract_block:
body_stmts.append(cst.parse_statement("return output"))
return FunctionDef(
name=Name(name),
params=cst.Parameters(
params=[
Param(name=Name("page"), annotation=cst.Annotation(cst.Name("SkyvernPage"))),
Param(name=Name("context"), annotation=cst.Annotation(cst.Name("RunContext"))),
]
),
decorators=[_make_decorator(cache_key, block)],
body=cst.IndentedBlock(body_stmts),
returns=None,
asynchronous=cst.Asynchronous(),
)
def _build_model(workflow: dict[str, Any]) -> cst.ClassDef:
"""
class WorkflowParameters(BaseModel):
param1: str
param2: str
...
"""
ann_lines: list[cst.BaseStatement] = []
for parameter in workflow["workflow_definition"]["parameters"]:
if parameter["parameter_type"] != "workflow":
continue
ann = cst.AnnAssign(
target=cst.Name(sanitize_variable_name(parameter["key"])),
annotation=cst.Annotation(cst.Name("str")),
value=None,
)
ann_lines.append(cst.SimpleStatementLine([ann]))
if not ann_lines: # no parameters
ann_lines.append(cst.SimpleStatementLine([cst.Pass()]))
return cst.ClassDef(
name=cst.Name("WorkflowParameters"),
bases=[cst.Arg(cst.Name("BaseModel"))],
body=cst.IndentedBlock(ann_lines), # ← wrap in block
)
def _build_generated_model_from_schema(schema_code: str) -> cst.ClassDef | None:
"""
Parse the generated schema code and return a ClassDef, or None if parsing fails.
"""
try:
# Parse the schema code and extract just the class definition
parsed_module = cst.parse_module(schema_code)
# Find the GeneratedWorkflowParameters class in the parsed module
for node in parsed_module.body:
if isinstance(node, cst.ClassDef) and node.name.value == "GeneratedWorkflowParameters":
return node
# If no class found, return None
return None
except Exception as e:
LOG.warning("Failed to parse generated schema code", error=str(e))
return None
# --------------------------------------------------------------------- #
# 3. statement builders #
# --------------------------------------------------------------------- #
def _build_run_task_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> cst.SimpleStatementLine:
"""Build a skyvern.run_task statement."""
args = __build_base_task_statement(block_title, block, data_variable_name)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("run_task")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_download_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> cst.SimpleStatementLine:
"""Build a skyvern.download statement."""
args = __build_base_task_statement(block_title, block, data_variable_name)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("download")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_action_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> cst.SimpleStatementLine:
"""Build a skyvern.action statement."""
args = [
cst.Arg(
keyword=cst.Name("prompt"),
value=_value(block.get("navigation_goal", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("label"):
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("action")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_login_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> cst.SimpleStatementLine:
"""Build a skyvern.login statement."""
args = __build_base_task_statement(block_title, block, data_variable_name)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("login")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_extract_statement(
block_title: str,
block: dict[str, Any],
data_variable_name: str | None = None,
assign_output: bool = True,
) -> cst.SimpleStatementLine:
"""Build a skyvern.extract statement."""
args = [
cst.Arg(
keyword=cst.Name("prompt"),
value=_value(block.get("data_extraction_goal", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("schema"),
value=_value(block.get("data_schema", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("label"):
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block_title),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("extract")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
if assign_output:
return cst.SimpleStatementLine(
[
cst.Assign(
targets=[cst.AssignTarget(target=cst.Name("output"))],
value=cst.Await(call),
)
]
)
else:
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_navigate_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> cst.SimpleStatementLine:
"""Build a skyvern.navigate statement."""
args = __build_base_task_statement(block_title, block, data_variable_name)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("run_task")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_send_email_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.send_email statement."""
args = [
cst.Arg(
keyword=cst.Name("sender"),
value=_value(block.get("sender", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("recipients"),
value=_value(block.get("recipients", [])),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("subject"),
value=_value(block.get("subject", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("body"),
value=_value(block.get("body", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("file_attachments"),
value=_value(block.get("file_attachments", [])),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
),
]
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("send_email")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_validate_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> cst.SimpleStatementLine:
"""Build a skyvern.validate statement."""
args = []
# Add complete_criterion if it exists
if block.get("complete_criterion") is not None:
args.append(
cst.Arg(
keyword=cst.Name("complete_criterion"),
value=_value(block.get("complete_criterion")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
# Add terminate_criterion if it exists
if block.get("terminate_criterion") is not None:
args.append(
cst.Arg(
keyword=cst.Name("terminate_criterion"),
value=_value(block.get("terminate_criterion")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
# Add error_code_mapping if it exists
if block.get("error_code_mapping") is not None:
args.append(
cst.Arg(
keyword=cst.Name("error_code_mapping"),
value=_value(block.get("error_code_mapping")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
# Add label if it exists
if block.get("label") is not None:
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
)
)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("validate")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_human_interaction_statement(
block: dict[str, Any],
) -> cst.SimpleStatementLine:
LOG.warning("Human interaction code generation is not yet implemented.", block=block)
return cst.SimpleStatementLine([cst.Expr(cst.Comment("# TODO: Implement human interaction logic"))])
def _build_wait_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.wait statement."""
args = [
cst.Arg(
keyword=cst.Name("seconds"),
value=_value(block.get("wait_sec", 1)),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
),
]
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("wait")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_goto_statement(block: dict[str, Any], data_variable_name: str | None = None) -> cst.SimpleStatementLine:
"""Build a skyvern.goto statement."""
args = [
cst.Arg(
keyword=cst.Name("url"),
value=_value(block.get("url", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}"),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
),
]
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("goto")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_code_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.run_code statement."""
parameters = block.get("parameters", [])
parameter_list = [parameter["key"] for parameter in parameters]
args = [
cst.Arg(
keyword=cst.Name("code"),
value=_value(block.get("code", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}"),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("parameters"),
value=_value(parameter_list),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
),
]
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("run_code")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_file_upload_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.upload_file statement."""
parameters = block.get("parameters", [])
parameter_list = [parameter["key"] for parameter in parameters]
args = [
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("parameters"),
value=_value(parameter_list),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("storage_type"),
value=_value(str(block.get("storage_type", FileStorageType.S3))),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
for key in [
"s3_bucket",
"aws_access_key_id",
"aws_secret_access_key",
"region_name",
"azure_storage_account_name",
"azure_storage_account_key",
"azure_blob_container_name",
"path",
]:
if block.get(key) is not None:
args.append(
cst.Arg(
keyword=cst.Name(key),
value=_value(block.get(key, "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("upload_file")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_pdf_parser_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.parse_pdf statement."""
args = [
cst.Arg(
keyword=cst.Name("file_url"),
value=_value(block.get("file_url", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
if block.get("json_schema") is not None:
args.append(
cst.Arg(
keyword=cst.Name("schema"),
value=_value(block.get("json_schema")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("label") is not None:
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("parse_pdf")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_file_url_parser_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.parse_file statement."""
args = [
cst.Arg(
keyword=cst.Name("file_url"),
value=_value(block.get("file_url", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("file_type"),
value=_value(str(block.get("file_type"))),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
# Add optional parameters if they exist
if block.get("json_schema") is not None:
args.append(
cst.Arg(
keyword=cst.Name("schema"),
value=_value(block.get("json_schema")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("label") is not None:
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("parse_file")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_http_request_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.http_request statement."""
args = [
cst.Arg(
keyword=cst.Name("method"),
value=_value(block.get("method", "GET")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
cst.Arg(
keyword=cst.Name("url"),
value=_value(block.get("url", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
# Add optional parameters if they exist
if block.get("headers") is not None:
args.append(
cst.Arg(
keyword=cst.Name("headers"),
value=_value(block.get("headers")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("body") is not None:
args.append(
cst.Arg(
keyword=cst.Name("body"),
value=_value(block.get("body")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("timeout") is not None:
args.append(
cst.Arg(
keyword=cst.Name("timeout"),
value=_value(block.get("timeout")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("follow_redirects") is not None:
args.append(
cst.Arg(
keyword=cst.Name("follow_redirects"),
value=_value(block.get("follow_redirects")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("label") is not None:
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("http_request")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_prompt_statement(block: dict[str, Any]) -> cst.SimpleStatementLine:
"""Build a skyvern.prompt statement."""
args = [
cst.Arg(
keyword=cst.Name("prompt"),
value=_value(block.get("prompt", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
# Add optional parameters if they exist
if block.get("json_schema") is not None:
args.append(
cst.Arg(
keyword=cst.Name("schema"),
value=_value(block.get("json_schema")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("label") is not None:
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block.get("label")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("parameters"):
parameters = block.get("parameters", [])
parameter_list = [parameter["key"] for parameter in parameters]
args.append(
cst.Arg(
keyword=cst.Name("parameters"),
value=_value(parameter_list),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
_mark_last_arg_as_comma(args)
call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("prompt")),
args=args,
whitespace_before_args=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
return cst.SimpleStatementLine([cst.Expr(cst.Await(call))])
def _build_for_loop_statement(block_title: str, block: dict[str, Any]) -> cst.For:
"""
Build a for loop statement.
All the blocks within the for loop block statement will run without cache_key.
An example of a for loop statement:
```
async for current_value in skyvern.loop(context.parameters["urls"]):
await skyvern.goto(
url=current_value,
label="block_4",
)
await skyvern.extract(
prompt="Get a summary of the page",
schema={
"type": "object",
"properties": {
"summary": {
"type": "string",
"description": "A concise summary of the main content or purpose of the page"
}
},
"required": [
"summary"
]
},
label="block_5",
)
```
"""
# Extract loop configuration
loop_over_parameter_key = block.get("loop_variable_reference", "")
loop_blocks = block.get("loop_blocks", [])
# Create the for loop target (current_value)
target = cst.Name("current_value")
# Build body statements from loop_blocks
body_statements = []
# Add loop_data assignment as the first statement
for loop_block in loop_blocks:
stmt = _build_block_statement(loop_block)
body_statements.append(stmt)
# create skyvern.loop(loop_over_parameter_key, label=block_title)
loop_call_args = [cst.Arg(keyword=cst.Name("values"), value=_value(loop_over_parameter_key))]
if block.get("complete_if_empty"):
loop_call_args.append(
cst.Arg(keyword=cst.Name("complete_if_empty"), value=_value(block.get("complete_if_empty")))
)
loop_call_args.append(cst.Arg(keyword=cst.Name("label"), value=_value(block_title)))
loop_call = cst.Call(
func=cst.Attribute(value=cst.Name("skyvern"), attr=cst.Name("loop")),
args=loop_call_args,
)
# Create the async for loop
for_loop = cst.For(
target=target,
iter=loop_call,
body=cst.IndentedBlock(body=body_statements),
asynchronous=cst.Asynchronous(),
whitespace_after_for=cst.SimpleWhitespace(" "),
whitespace_before_in=cst.SimpleWhitespace(" "),
whitespace_after_in=cst.SimpleWhitespace(" "),
whitespace_before_colon=cst.SimpleWhitespace(""),
)
return for_loop
def _mark_last_arg_as_comma(args: list[cst.Arg]) -> None:
if not args:
return
last_arg = args.pop()
new_arg = cst.Arg(
keyword=last_arg.keyword,
value=last_arg.value,
comma=cst.Comma(),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
)
args.append(new_arg)
def __build_base_task_statement(
block_title: str, block: dict[str, Any], data_variable_name: str | None = None
) -> list[cst.Arg]:
block_type = block.get("block_type")
prompt = block.get("prompt") if block_type == "task_v2" else block.get("navigation_goal")
# add parameters to prompt
parameters = block.get("parameters", [])
navigation_payload = {}
# make all parameters as jinja2 template parameters in the generated code
for parameter in parameters:
parameter_key = parameter["key"]
navigation_payload[parameter_key] = "{{" + parameter_key + "}}"
if navigation_payload:
prompt = prompt or ""
prompt = f"{prompt}\n{navigation_payload}"
args = [
cst.Arg(
keyword=cst.Name("prompt"),
value=_value(prompt),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
),
]
if block.get("url"):
args.append(
cst.Arg(
keyword=cst.Name("url"),
value=_value(block.get("url", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
max_steps = block.get("max_steps") if block_type == "task_v2" else block.get("max_steps_per_run")
if max_steps:
args.append(
cst.Arg(
keyword=cst.Name("max_steps"),
value=_value(max_steps or settings.MAX_STEPS_PER_RUN),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("download_suffix"):
args.append(
cst.Arg(
keyword=cst.Name("download_suffix"),
value=_value(block.get("download_suffix")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("totp_identifier"):
args.append(
cst.Arg(
keyword=cst.Name("totp_identifier"),
value=_value(block.get("totp_identifier", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("totp_verification_url"):
args.append(
cst.Arg(
keyword=cst.Name("totp_url"),
value=_value(block.get("totp_verification_url", "")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("model"):
args.append(
cst.Arg(
keyword=cst.Name("model"),
value=_value(block.get("model")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
# Add error_code_mapping if it exists
if block.get("error_code_mapping") is not None:
args.append(
cst.Arg(
keyword=cst.Name("error_code_mapping"),
value=_value(block.get("error_code_mapping")),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
if block.get("block_type") == "task_v2":
args.append(
cst.Arg(
keyword=cst.Name("engine"),
value=_value("skyvern-2.0"),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
)
args.append(
cst.Arg(
keyword=cst.Name("label"),
value=_value(block_title),
whitespace_after_arg=cst.ParenthesizedWhitespace(
indent=True,
),
comma=cst.Comma(),
)
)
return args
# --------------------------------------------------------------------- #
# 4. function builders #
# --------------------------------------------------------------------- #
def _build_block_statement(
block: dict[str, Any], data_variable_name: str | None = None, assign_output: bool = False
) -> cst.SimpleStatementLine:
"""Build a block statement."""
block_type = block.get("block_type")
block_title = block.get("label") or block.get("title") or f"block_{block.get('workflow_run_block_id')}"
if block_type in SCRIPT_TASK_BLOCKS:
# For task blocks, call the custom function with cache_key
if block_type == "task":
stmt = _build_run_task_statement(block_title, block, data_variable_name)
elif block_type == "file_download":
stmt = _build_download_statement(block_title, block, data_variable_name)
elif block_type == "action":
stmt = _build_action_statement(block_title, block, data_variable_name)
elif block_type == "login":
stmt = _build_login_statement(block_title, block, data_variable_name)
elif block_type == "extraction":
stmt = _build_extract_statement(block_title, block, data_variable_name, assign_output)
elif block_type == "navigation":
stmt = _build_navigate_statement(block_title, block, data_variable_name)
elif block_type == "validation":
stmt = _build_validate_statement(block_title, block, data_variable_name)
elif block_type == "human_interaction":
stmt = _build_human_interaction_statement(block)
elif block_type == "task_v2":
stmt = _build_run_task_statement(block_title, block, data_variable_name)
elif block_type == "send_email":
stmt = _build_send_email_statement(block)
elif block_type == "text_prompt":
stmt = _build_prompt_statement(block)
elif block_type == "wait":
stmt = _build_wait_statement(block)
elif block_type == "for_loop":
stmt = _build_for_loop_statement(block_title, block)
elif block_type == "goto_url":
stmt = _build_goto_statement(block, data_variable_name)
elif block_type == "code":
stmt = _build_code_statement(block)
elif block_type == "file_upload":
stmt = _build_file_upload_statement(block)
elif block_type == "file_url_parser":
stmt = _build_file_url_parser_statement(block)
elif block_type == "http_request":
stmt = _build_http_request_statement(block)
elif block_type == "pdf_parser":
stmt = _build_pdf_parser_statement(block)
else:
# Default case for unknown block types
stmt = cst.SimpleStatementLine([cst.Expr(cst.SimpleString(f"# Unknown block type: {block_type}"))])
return stmt
def _build_run_fn(blocks: list[dict[str, Any]], wf_req: dict[str, Any]) -> FunctionDef:
body = [
cst.parse_statement(
"parameters = parameters.model_dump() if isinstance(parameters, WorkflowParameters) else parameters"
),
cst.parse_statement("page, context = await skyvern.setup(parameters, GeneratedWorkflowParameters)"),
]
for block in blocks:
stmt = _build_block_statement(block, assign_output=False)
body.append(stmt)
params = cst.Parameters(
params=[
Param(
name=cst.Name("parameters"),
annotation=cst.Annotation(
cst.BinaryOperation(
left=cst.Name("WorkflowParameters"),
operator=cst.BitOr(
whitespace_before=cst.SimpleWhitespace(" "),
whitespace_after=cst.SimpleWhitespace(" "),
),
right=cst.Subscript(
value=cst.Name("dict"),
slice=[
cst.SubscriptElement(
slice=cst.Index(value=cst.Name("str")),
comma=cst.Comma(whitespace_after=cst.SimpleWhitespace(" ")),
),
cst.SubscriptElement(
slice=cst.Index(value=cst.Name("Any")),
),
],
),
)
),
whitespace_after_param=cst.ParenthesizedWhitespace(),
comma=cst.Comma(),
),
]
)
return FunctionDef(
name=cst.Name("run_workflow"),
asynchronous=cst.Asynchronous(),
decorators=[_workflow_decorator(wf_req)],
params=params,
body=cst.IndentedBlock(body),
whitespace_before_params=cst.ParenthesizedWhitespace(
indent=True,
last_line=cst.SimpleWhitespace(INDENT),
),
)
# --------------------------------------------------------------------- #
# 5. entrypoint #
# --------------------------------------------------------------------- #
async def generate_workflow_script_python_code(
*,
file_name: str,
workflow_run_request: dict[str, Any],
workflow: dict[str, Any],
blocks: list[dict[str, Any]],
actions_by_task: dict[str, list[dict[str, Any]]],
task_v2_child_blocks: dict[str, list[dict[str, Any]]] | None = None,
organization_id: str | None = None,
run_id: str | None = None,
script_id: str | None = None,
script_revision_id: str | None = None,
pending: bool = False,
cached_blocks: dict[str, ScriptBlockSource] | None = None,
updated_block_labels: set[str] | None = None,
) -> str:
"""
Build a LibCST Module and emit .code (PEP-8-formatted source).
Cached script blocks can be reused by providing them via `cached_blocks`. Any labels present in
`updated_block_labels` will be regenerated from the latest workflow run execution data.
"""
cached_blocks = cached_blocks or {}
updated_block_labels = set(updated_block_labels or [])
# Drop cached entries that do not have usable source
cached_blocks = {label: source for label, source in cached_blocks.items() if source.code}
# Always regenerate the orchestrator block so it stays aligned with the workflow definition
cached_blocks.pop(settings.WORKFLOW_START_BLOCK_LABEL, None)
if task_v2_child_blocks is None:
task_v2_child_blocks = {}
# --- imports --------------------------------------------------------
imports: list[cst.BaseStatement] = [
cst.SimpleStatementLine([cst.Import(names=[cst.ImportAlias(cst.Name("asyncio"))])]),
cst.SimpleStatementLine([cst.Import(names=[cst.ImportAlias(cst.Name("pydantic"))])]),
cst.SimpleStatementLine(
[
cst.ImportFrom(
module=cst.Name("typing"),
names=[
cst.ImportAlias(cst.Name("Any")),
],
)
]
),
cst.SimpleStatementLine(
[
cst.ImportFrom(
module=cst.Name("pydantic"),
names=[
cst.ImportAlias(cst.Name("BaseModel")),
cst.ImportAlias(cst.Name("Field")),
],
)
]
),
cst.SimpleStatementLine([cst.Import(names=[cst.ImportAlias(cst.Name("skyvern"))])]),
cst.SimpleStatementLine(
[
cst.ImportFrom(
module=cst.Name("skyvern"),
names=[
cst.ImportAlias(cst.Name("RunContext")),
cst.ImportAlias(cst.Name("SkyvernPage")),
],
)
]
),
]
# --- generate schema and hydrate actions ---------------------------
# Build existing field assignments from cached blocks to preserve field names
# for unchanged blocks, preventing schema mismatches with cached code
existing_field_assignments = _build_existing_field_assignments(
blocks=blocks,
actions_by_task=actions_by_task,
cached_blocks=cached_blocks,
updated_block_labels=updated_block_labels,
)
generated_schema, field_mappings = await generate_workflow_parameters_schema(
actions_by_task, existing_field_assignments
)
actions_by_task = hydrate_input_text_actions_with_field_names(actions_by_task, field_mappings)
# --- class + cached params -----------------------------------------
model_cls = _build_model(workflow)
generated_model_cls = _build_generated_model_from_schema(generated_schema)
# --- blocks ---------------------------------------------------------
block_fns: list[cst.CSTNode] = []
task_v1_blocks = [block for block in blocks if block["block_type"] in SCRIPT_TASK_BLOCKS]
task_v2_blocks = [block for block in blocks if block["block_type"] == "task_v2"]
def append_block_code(block_code: str) -> None:
nonlocal block_fns
parsed = cst.parse_module(block_code)
if block_fns:
block_fns.append(cst.EmptyLine())
block_fns.append(cst.EmptyLine())
block_fns.extend(parsed.body)
# Handle task v1 blocks (excluding child blocks of task_v2)
for idx, task in enumerate(task_v1_blocks):
if task.get("parent_task_v2_label"):
continue
block_name = task.get("label") or task.get("title") or task.get("task_id") or f"task_{idx}"
cached_source = cached_blocks.get(block_name)
use_cached = cached_source is not None and block_name not in updated_block_labels
input_fields = _collect_block_input_fields(task, actions_by_task)
if not input_fields and cached_source and cached_source.input_fields:
input_fields = cached_source.input_fields
if use_cached:
assert cached_source is not None
block_code = cached_source.code
run_signature = cached_source.run_signature
block_workflow_run_id = cached_source.workflow_run_id
block_workflow_run_block_id = cached_source.workflow_run_block_id
else:
block_fn_def = _build_block_fn(task, actions_by_task.get(task.get("task_id", ""), []))
temp_module = cst.Module(body=[block_fn_def])
block_code = temp_module.code
block_stmt = _build_block_statement(task)
run_signature_module = cst.Module(body=[block_stmt])
run_signature = run_signature_module.code.strip()
block_workflow_run_id = task.get("workflow_run_id") or run_id
block_workflow_run_block_id = task.get("workflow_run_block_id")
if script_id and script_revision_id and organization_id:
try:
await create_or_update_script_block(
block_code=block_code,
script_revision_id=script_revision_id,
script_id=script_id,
organization_id=organization_id,
block_label=block_name,
update=pending,
run_signature=run_signature,
workflow_run_id=block_workflow_run_id,
workflow_run_block_id=block_workflow_run_block_id,
input_fields=input_fields,
)
except Exception as e:
LOG.error("Failed to create script block", error=str(e), exc_info=True)
append_block_code(block_code)
# Handle task_v2 blocks
for task_v2 in task_v2_blocks:
task_v2_label = task_v2.get("label") or f"task_v2_{task_v2.get('workflow_run_block_id')}"
child_blocks = task_v2_child_blocks.get(task_v2_label, [])
cached_source = cached_blocks.get(task_v2_label)
use_cached = cached_source is not None and task_v2_label not in updated_block_labels
input_fields = _collect_block_input_fields(task_v2, actions_by_task)
if not input_fields and cached_source and cached_source.input_fields:
input_fields = cached_source.input_fields
block_code = ""
run_signature = None
block_workflow_run_id = task_v2.get("workflow_run_id") or run_id
block_workflow_run_block_id = task_v2.get("workflow_run_block_id")
if use_cached:
assert cached_source is not None
block_code = cached_source.code
run_signature = cached_source.run_signature
block_workflow_run_id = cached_source.workflow_run_id
block_workflow_run_block_id = cached_source.workflow_run_block_id
else:
task_v2_fn_def = _build_task_v2_block_fn(task_v2, child_blocks)
task_v2_block_body: list[cst.CSTNode] = [task_v2_fn_def]
for child_block in child_blocks:
if child_block.get("block_type") in SCRIPT_TASK_BLOCKS and child_block.get("block_type") != "task_v2":
child_fn_def = _build_block_fn(child_block, actions_by_task.get(child_block.get("task_id", ""), []))
task_v2_block_body.append(cst.EmptyLine())
task_v2_block_body.append(cst.EmptyLine())
task_v2_block_body.append(child_fn_def)
temp_module = cst.Module(body=task_v2_block_body)
block_code = temp_module.code
task_v2_stmt = _build_block_statement(task_v2)
run_signature = cst.Module(body=[task_v2_stmt]).code.strip()
if script_id and script_revision_id and organization_id:
try:
await create_or_update_script_block(
block_code=block_code,
script_revision_id=script_revision_id,
script_id=script_id,
organization_id=organization_id,
block_label=task_v2_label,
update=pending,
run_signature=run_signature,
workflow_run_id=block_workflow_run_id,
workflow_run_block_id=block_workflow_run_block_id,
input_fields=input_fields,
)
except Exception as e:
LOG.error("Failed to create task_v2 script block", error=str(e), exc_info=True)
append_block_code(block_code)
# Handle for_loop blocks
# ForLoop blocks need script_block entries with run_signature so they can be executed via cached scripts
for_loop_blocks = [block for block in blocks if block["block_type"] == "for_loop"]
for for_loop_block in for_loop_blocks:
for_loop_label = for_loop_block.get("label") or f"for_loop_{for_loop_block.get('workflow_run_block_id')}"
cached_source = cached_blocks.get(for_loop_label)
use_cached = cached_source is not None and for_loop_label not in updated_block_labels
block_workflow_run_id = for_loop_block.get("workflow_run_id") or run_id
block_workflow_run_block_id = for_loop_block.get("workflow_run_block_id")
if use_cached:
assert cached_source is not None
block_code = cached_source.code
run_signature = cached_source.run_signature
block_workflow_run_id = cached_source.workflow_run_id
block_workflow_run_block_id = cached_source.workflow_run_block_id
else:
# Build the for loop statement
for_loop_stmt = _build_for_loop_statement(for_loop_label, for_loop_block)
temp_module = cst.Module(body=[for_loop_stmt])
block_code = temp_module.code
run_signature = block_code.strip()
if script_id and script_revision_id and organization_id:
try:
await create_or_update_script_block(
block_code=block_code,
script_revision_id=script_revision_id,
script_id=script_id,
organization_id=organization_id,
block_label=for_loop_label,
update=pending,
run_signature=run_signature,
workflow_run_id=block_workflow_run_id,
workflow_run_block_id=block_workflow_run_block_id,
input_fields=None,
)
except Exception as e:
LOG.error("Failed to create for_loop script block", error=str(e), exc_info=True)
append_block_code(block_code)
# --- runner ---------------------------------------------------------
run_fn = _build_run_fn(blocks, workflow_run_request)
# --- create __start_block__ -----------------------------------------
# Build the __start_block__ content that combines imports, model classes, and run function
start_block_body = [
*imports,
cst.EmptyLine(),
cst.EmptyLine(),
model_cls,
cst.EmptyLine(),
cst.EmptyLine(),
]
# Add generated model class if available
if generated_model_cls:
start_block_body.extend(
[
generated_model_cls,
cst.EmptyLine(),
cst.EmptyLine(),
]
)
# Add run function to start block
start_block_body.extend(
[
run_fn,
cst.EmptyLine(),
cst.EmptyLine(),
]
)
# Create script block for __start_block__ if we have script context
if script_id and script_revision_id and organization_id:
try:
# Create a temporary module to convert the start block content to a function
start_block_module = cst.Module(body=start_block_body)
start_block_code = start_block_module.code
await create_or_update_script_block(
block_code=start_block_code,
script_revision_id=script_revision_id,
script_id=script_id,
organization_id=organization_id,
block_label=settings.WORKFLOW_START_BLOCK_LABEL,
update=pending,
)
except Exception as e:
LOG.error("Failed to create __start_block__", error=str(e), exc_info=True)
# Continue without script block creation if it fails
# Build module body with the start block content and other blocks
module_body = [
*start_block_body,
*block_fns,
]
module = cst.Module(body=module_body)
return module.code
async def create_or_update_script_block(
block_code: str | bytes,
script_revision_id: str,
script_id: str,
organization_id: str,
block_label: str,
update: bool = False,
run_signature: str | None = None,
workflow_run_id: str | None = None,
workflow_run_block_id: str | None = None,
input_fields: list[str] | None = None,
) -> None:
"""
Create a script block in the database and save the block code to a script file.
If update is True, the script block will be updated instead of created.
Args:
block_code: The code to save
script_revision_id: The script revision ID
script_id: The script ID
organization_id: The organization ID
block_label: Optional custom name for the block (defaults to function name)
update: Whether to update the script block instead of creating a new one
run_signature: The function call code to execute this block (e.g., "await skyvern.action(...)")
workflow_run_id: The workflow run that generated this cached block
workflow_run_block_id: The workflow run block that generated this cached block
input_fields: Workflow parameter field names referenced by this block's cached actions
"""
block_code_bytes = block_code if isinstance(block_code, bytes) else block_code.encode("utf-8")
try:
# Step 3: Create script block in database
script_block = await app.DATABASE.get_script_block_by_label(
organization_id=organization_id,
script_revision_id=script_revision_id,
script_block_label=block_label,
)
if not script_block:
script_block = await app.DATABASE.create_script_block(
script_revision_id=script_revision_id,
script_id=script_id,
organization_id=organization_id,
script_block_label=block_label,
run_signature=run_signature,
workflow_run_id=workflow_run_id,
workflow_run_block_id=workflow_run_block_id,
input_fields=input_fields,
)
elif any(value is not None for value in [run_signature, workflow_run_id, workflow_run_block_id, input_fields]):
# Update metadata when new values are provided
script_block = await app.DATABASE.update_script_block(
script_block_id=script_block.script_block_id,
organization_id=organization_id,
run_signature=run_signature,
workflow_run_id=workflow_run_id,
workflow_run_block_id=workflow_run_block_id,
input_fields=input_fields,
)
# Step 4: Create script file for the block
# Generate a unique filename for the block
file_name = f"{block_label}.skyvern"
file_path = f"blocks/{file_name}"
# Create artifact and upload to S3
artifact_id = None
if update and script_block.script_file_id:
script_file = await app.DATABASE.get_script_file_by_id(
script_revision_id,
script_block.script_file_id,
organization_id,
)
if script_file and script_file.artifact_id:
artifact = await app.DATABASE.get_artifact_by_id(script_file.artifact_id, organization_id)
if artifact:
asyncio.create_task(app.STORAGE.store_artifact(artifact, block_code_bytes))
else:
LOG.error("Script file or artifact not found", script_file_id=script_block.script_file_id)
else:
artifact_id = await app.ARTIFACT_MANAGER.create_script_file_artifact(
organization_id=organization_id,
script_id=script_id,
script_version=1, # Assuming version 1 for now
file_path=file_path,
data=block_code_bytes,
)
# Create script file record
script_file = await app.DATABASE.create_script_file(
script_revision_id=script_revision_id,
script_id=script_id,
organization_id=organization_id,
file_path=file_path,
file_name=file_name,
file_type="file",
content_hash=f"sha256:{hashlib.sha256(block_code_bytes).hexdigest()}",
file_size=len(block_code_bytes),
mime_type="text/x-python",
artifact_id=artifact_id,
)
# update script block with script file id
await app.DATABASE.update_script_block(
script_block_id=script_block.script_block_id,
organization_id=organization_id,
script_file_id=script_file.file_id,
workflow_run_id=workflow_run_id,
workflow_run_block_id=workflow_run_block_id,
)
except Exception as e:
# Log error but don't fail the entire generation process
LOG.error("Failed to create script block", error=str(e), exc_info=True)
# For now, just log the error and continue
# In production, you might want to handle this differently
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