mirror of
https://github.com/yaroslaff/antifraud2gis.git
synced 2026-10-15 13:44:14 +00:00
Gtag, better explain for risk_users
This commit is contained in:
Yaroslav Polyakov
parent
065d90188c
commit
93b5b8d863
12 changed files with 273 additions and 93 deletions
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@ -29,6 +29,7 @@ from ..settings import settings
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from ..const import REDIS_TASK_QUEUE_NAME, REDIS_TRUSTED_LIST, REDIS_UNTRUSTED_LIST, REDIS_WORKER_STATUS
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# from ..search import search
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from ..companydb import dbsearch
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from ..compare import compare
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app = FastAPI()
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@ -47,20 +48,30 @@ r = redis.Redis(decode_responses=True)
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class ReportRequest(BaseModel):
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oid: str
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@app.get("/", response_class=HTMLResponse)
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async def home(request: Request):
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def render(request, template_name, context: dict):
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# Добавляем общие данные
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last_trusted = [json.loads(item) for item in r.lrange(REDIS_TRUSTED_LIST, 0, -1)]
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last_untrusted = [json.loads(item) for item in r.lrange(REDIS_UNTRUSTED_LIST, 0, -1)]
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return templates.TemplateResponse(
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"index.html",
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context.update({
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"request": request,
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"settings": settings,
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"trusted": last_trusted,
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"untrusted": last_untrusted,
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})
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return templates.TemplateResponse(template_name, context)
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@app.get("/", response_class=HTMLResponse)
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async def home(request: Request):
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return render(request, "index.html",
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{
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"request": request,
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"trusted": last_trusted,
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"untrusted": last_untrusted
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}
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}
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)
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@ -76,6 +87,30 @@ async def explain(request: Request, oid: str):
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return PlainTextResponse(content=explanation)
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@app.get("/compare/{oida}/{oidb}", response_class=PlainTextResponse)
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async def route_compare(request: Request, oida: str, oidb: str):
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try:
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ca = Company(oida)
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except (AFNoCompany, AFNoTitle):
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return RedirectResponse(app.url_path_for("miss", oid=oida))
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try:
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cb = Company(oidb)
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except (AFNoCompany, AFNoTitle):
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return RedirectResponse(app.url_path_for("miss", oid=oidb))
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cmp_report = f"/tmp/af2gis-cmp-{oida}-{oidb}.txt"
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# rewrite as with
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with open(cmp_report, "w") as fh:
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compare(ca, cb, fh=fh)
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# return this file
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data = open(cmp_report).read()
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os.unlink(cmp_report)
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return PlainTextResponse(content=data)
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@app.get("/report/{oid}", response_class=HTMLResponse)
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async def report(request: Request, oid: str):
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try:
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@ -103,7 +138,8 @@ async def report(request: Request, oid: str):
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last_untrusted = [json.loads(item) for item in r.lrange(REDIS_UNTRUSTED_LIST, 0, -1)]
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return templates.TemplateResponse(
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return render(
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request,
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"report.html", {
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"request": request,
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"settings": settings,
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@ -135,7 +171,8 @@ async def miss(request: Request, oid: str):
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assert c.title is not None
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except (AFNoCompany, AFNoTitle, AssertionError) as e:
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return templates.TemplateResponse(
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return render(
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request,
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"nocompany.html", {
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"request": request, "oid": oid,
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"trusted": last_trusted,
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@ -146,7 +183,8 @@ async def miss(request: Request, oid: str):
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return templates.TemplateResponse(
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return render(
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request,
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"miss.html", {
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"request": request, "title": c.title, "oid": c.object_id,
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"settings": settings,
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@ -163,7 +201,7 @@ async def submit(request: Request, oid: str = Form(...), force: bool = Form(Fals
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try:
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c = Company(oid)
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except (AFNoCompany) as e:
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return templates.TemplateResponse(
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return render(request,
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"nocompany.html", {
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"request": request, "oid": oid,
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}
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@ -241,7 +279,8 @@ async def search_view(request: Request, query: str, detections: str):
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last_trusted = [json.loads(item) for item in r.lrange(REDIS_TRUSTED_LIST, 0, -1)]
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last_untrusted = [json.loads(item) for item in r.lrange(REDIS_UNTRUSTED_LIST, 0, -1)]
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return templates.TemplateResponse(
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return render(
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request,
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"search.html", {
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"request": request,
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"query": query,
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@ -262,7 +301,8 @@ async def progress(request: Request, oid: str):
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c = Company(oid)
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print("miss for", c)
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except (AFNoCompany, AssertionError):
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return templates.TemplateResponse(
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return render(
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request,
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"nocompany.html", {
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"request": request, "oid": oid,
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}
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@ -287,7 +327,8 @@ async def progress(request: Request, oid: str):
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last_untrusted = [json.loads(item) for item in r.lrange(REDIS_UNTRUSTED_LIST, 0, -1)]
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return templates.TemplateResponse(
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return render(
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request,
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"progress.html", {
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"request": request, "title": c.title, "oid": c.object_id,
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"qsize": queue_size, "wstatus": wstatus, "qpos": qpos,
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@ -317,7 +358,7 @@ def md_page(request: Request, page: str):
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return templates.TemplateResponse("markdown.html", {
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return render(request, "markdown.html", {
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"request": request,
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"title": title,
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"content": content_html,
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@ -139,10 +139,35 @@ def handle_dev(args: argparse.Namespace):
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print(u.birthday())
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def town_iterator(town: str, nreviews: int):
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for crec in dbsearch(query='', addr=town, nreviews=nreviews, limit=0):
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yield crec
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def nreviews_for_oid(r, oid: str, provider:str):
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key = f'af2gis:nreviews:{oid}:{provider}'
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nr = r.get(key)
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if nr is not None:
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return int(nr)
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# calculate and save
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c = Company(oid)
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c.load_reviews()
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nr = c.nreviews(provider=provider)
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r.set(key, nr)
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return nr
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def do_delkeys(prefix: str):
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r = redis.Redis(decode_responses=True)
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for key in r.scan_iter(f"{prefix}*"):
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print("delete", key)
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r.delete(key)
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def do_provider(args, cl: CompanyList):
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started = time.time()
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provider = args.args[0]
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redis_conn = redis.Redis(decode_responses=True)
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try:
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min_nprov_th = int(args.args[1])
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@ -154,38 +179,45 @@ def do_provider(args, cl: CompanyList):
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except IndexError:
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th = 0
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started = time.time()
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provider = args.args[0]
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print(f"# Analyse companies with {min_nprov_th}+ reviews from {provider}, show companies with more then {th}% reviews from {provider}")
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processed = 0
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provider_ratio = list()
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over_th = 0
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higher = 0
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lower = 0
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# max PROVIDER ratio among LO companies
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maxlo = 0
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all_providers = defaultdict(int)
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for c in cl.companies(oid=args.company, name=args.name, town=args.town, report=args.report, noreport=args.noreport, limit=0):
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for crec in town_iterator(args.town, nreviews=100):
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if c.object_id in settings.skip_oids:
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if crec['oid'] in settings.skip_oids:
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continue
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try:
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crec['provider_nr'] = nreviews_for_oid(redis_conn, crec['oid'], provider=provider)
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if crec['provider_nr'] < min_nprov_th:
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continue
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except AFCompanyError as e:
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continue
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# here we start processing
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nprov = 0
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total = 0
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ratio = 0
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pr = list()
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r = list()
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prov_rating = list()
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rating = list()
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skipped = 0
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c = Company(crec['oid'])
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c.load_reviews()
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for rev in c.reviews():
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if rev.age > settings.max_review_age:
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skipped += 1
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continue
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for rev in c.reviews():
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total += 1
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@ -193,60 +225,48 @@ def do_provider(args, cl: CompanyList):
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if rev.provider == provider:
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nprov += 1
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pr.append(rev.rating)
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prov_rating.append(rev.rating)
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else:
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r.append(rev.rating)
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rating.append(rev.rating)
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if nprov > min_nprov_th:
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# percent of this provider/total
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ratio = int(100*nprov/total)
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# percent of this provider/total
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ratio = int(100*nprov/total)
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# avg rating other providers
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avg = np.mean(r) if r else 0
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# avg rating this provider
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avg_prov = np.mean(pr) if pr else 0
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# avg rating other providers
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avg = np.mean(rating) if rating else 0
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# avg rating this provider
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avg_prov = np.mean(prov_rating) if prov_rating else 0
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if avg_prov > avg:
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higher += 1
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hl_str = "HI"
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if avg_prov > avg + 1:
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hl_str = "HI+"
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else:
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lower += 1
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hl_str = "LO"
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if ratio > maxlo:
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maxlo = ratio
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if ratio > th:
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over_th += 1
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print(f"{processed}: {c.object_id} {c.get_title()} (skip:{skipped}) {hl_str} ({avg:.1f}) {provider}: {nprov} / {total} = {ratio} ({avg_prov:.1f})")
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else:
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print(f"{processed}: {c.object_id} {c.get_title()} NORATINGS({nprov}) from {provider}")
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pass
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if avg_prov > avg:
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higher += 1
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hl_str = "HI"
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if avg_prov > avg + settings.rating_diff:
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hl_str = "HI+"
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else:
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lower += 1
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hl_str = "LO"
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processed += 1
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provider_ratio.append(ratio)
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reset_user_pool()
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if ratio > th:
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over_th += 1
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print(f"{processed}: {c.object_id} {c.get_title()} (skip:{skipped}) {hl_str} ({avg:.1f}) {provider}: {nprov} / {total} = {ratio} ({avg_prov:.1f})")
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print(f" rating ({len(rating)}): {rating}")
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print(f" {provider} rating ({len(prov_rating)}): {prov_rating}")
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print(f"processed {processed} companies in {int(time.time() - started)} sec. providers: {dict(all_providers)}")
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if processed:
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# calculage mean share of this provider among all companies and amont companies which has at least one review
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mean_provider_ratio = np.mean(provider_ratio) if provider_ratio else 0
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nz_provider_ratio = list(filter(None, provider_ratio))
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nz_mean_provider_ratio = np.mean(nz_provider_ratio) if nz_provider_ratio else 0
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print(f"companies with 0 reviews from {provider}: {len(provider_ratio) - len(nz_provider_ratio)}")
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print(f"avg ratio of {provider}: {nz_mean_provider_ratio:.1f} ({np.mean(mean_provider_ratio):.1f} overall)")
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print(f"over th ({th}): {over_th} ({100*over_th/processed:.1f}%)")
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hilorate = higher/lower if lower else 0
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print(f"hi: {higher} lo: {lower} hi/lo: {hilorate:.2f}")
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print(f"maxlo: {maxlo}")
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return
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def lmdb_dump(args):
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@ -283,7 +303,7 @@ def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument("cmd", choices=['company-users', 'user-reviews', 'company-reviews', 'queue', 'explore', 'provider', 'sys', 'filldb', 'dev', 'lmdb', 'convert'])
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parser.add_argument("cmd", choices=['company-users', 'user-reviews', 'company-reviews', 'queue', 'explore', 'provider', 'sys', 'filldb', 'dev', 'lmdb', 'convert', 'delkeys'])
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parser.add_argument("-v", "--verbose", default=False, action='store_true')
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parser.add_argument("--full", default=False, action='store_true')
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parser.add_argument("args", nargs='*', help='extra args')
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@ -317,13 +337,13 @@ def main():
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for u in c.users():
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print(u)
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if cmd == "user-reviews":
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elif cmd == "user-reviews":
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u = User(args.args[0])
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for r in u.reviews():
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print(r)
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if cmd == "company-reviews":
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elif cmd == "company-reviews":
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c = Company(args.company)
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c.load_reviews()
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@ -536,4 +556,9 @@ def main():
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elif cmd == "lmdb":
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lmdb_dump(args)
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elif cmd == "delkeys":
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do_delkeys(args.args[0])
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else:
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print(f"Unknown command {cmd!r}")
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@ -122,6 +122,7 @@ def main():
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except (AFNoCompany, AFNoTitle):
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print(f"Company {args.company} not found")
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return
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c.load_reviews()
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basic = json.load(gzip.open(c.basic_path))
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print(c)
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print_json(data=basic)
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@ -135,7 +136,7 @@ def main():
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print(f"{len(report['relations'])} relations")
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elif args.cmd == "search":
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res = dbsearch(args.args[0], detection=args.detection, addr=args.town, extra=args.args[1:], limit=500)
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res = dbsearch(args.args[0], detection=args.detection, addr=args.town, limit=500)
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for rec in res:
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print(rec)
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if args.fmt == 'full':
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@ -7,6 +7,7 @@ import gzip
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import traceback
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import numpy as np
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import lmdb
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import redis
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from rich.progress import Progress
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from rich import print_json
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from rich.pretty import pretty_repr
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@ -194,9 +195,6 @@ class Company:
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return len(self._reviews)
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def count_rate(self):
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self.ratings = list()
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for r in self._reviews:
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if r['rating'] is None:
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@ -217,6 +215,10 @@ class Company:
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continue
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yield User(uid)
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def users_ids(self):
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for r in self._reviews:
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yield r['user']['public_id']
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def uids(self):
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for r in self._reviews:
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uid = r['user']['public_id']
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@ -377,12 +379,29 @@ class Company:
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def reviews(self):
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for r in self._reviews:
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yield Review(r, company=self)
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def nreviews(self):
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return len(self._reviews)
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rev = Review(r, company=self)
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if rev.age > settings.max_review_age:
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continue
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yield rev
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def review_from(self, uid: str):
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def nreviews(self, provider = None):
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if provider is None:
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return len(self._reviews)
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# count reviews now myself
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n = 0
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for rev in self._reviews:
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r = Review(rev, company=self)
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if r.age > settings.max_review_age:
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continue
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if provider == '*' or rev['provider'] == provider:
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n += 1
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return n
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def review_from(self, uid: str) -> Review:
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self.load_reviews()
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for r in self._reviews:
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if r['user']['public_id'] == uid:
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@ -41,7 +41,7 @@ def get_by_oid(oid: str, conn = None) -> Optional[dict]:
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col_names = [desc[0] for desc in cursor.description]
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return dict(zip(col_names, row))
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def dbsearch(query: str, addr: str = None, limit=None, detection=None, conn = None) -> list[dict]:
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def dbsearch(query: str, addr: str = None, limit=None, nreviews=None, detection=None, conn = None) -> list[dict]:
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limit = 100 if limit is None else int(limit)
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@ -50,7 +50,7 @@ def dbsearch(query: str, addr: str = None, limit=None, detection=None, conn = No
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conn = conn or make_connection()
|
||||
|
||||
if query and query not in ('.', 'ALL'):
|
||||
if query and query not in ('', '.', 'ALL'):
|
||||
words = query.strip().lower().split()
|
||||
if not words:
|
||||
return []
|
||||
|
|
@ -73,6 +73,10 @@ def dbsearch(query: str, addr: str = None, limit=None, detection=None, conn = No
|
|||
clauses += " AND detections LIKE ?"
|
||||
params.append(f"%{detection}%")
|
||||
|
||||
if nreviews:
|
||||
clauses += " AND nreviews >= ?"
|
||||
params.append(int(nreviews))
|
||||
|
||||
if addr:
|
||||
clauses += " AND address LIKE ?"
|
||||
params.append(f"%{addr}%")
|
||||
|
|
|
|||
|
|
@ -5,9 +5,74 @@ import numpy as np
|
|||
from .company import Company
|
||||
from .user import get_user
|
||||
from .db import db
|
||||
from .settings import settings
|
||||
|
||||
def quick_compare(a: Company, b: Company, fh = None):
|
||||
""" new quick compare """
|
||||
|
||||
if fh is None:
|
||||
fh = sys.stdout
|
||||
|
||||
a.load_reviews()
|
||||
b.load_reviews()
|
||||
|
||||
print(settings.debug_uids)
|
||||
|
||||
print("A:", a, file=fh)
|
||||
print("B:", b, file=fh)
|
||||
print("--")
|
||||
|
||||
users_a = set(a.users_ids())
|
||||
users_b = set(b.users_ids())
|
||||
|
||||
for uid in settings.debug_uids:
|
||||
if uid in users_a:
|
||||
print(f"User {uid} in A", file=fh)
|
||||
if uid in users_b:
|
||||
print(f"User {uid} in B", file=fh)
|
||||
|
||||
common_uids = users_a & users_b
|
||||
|
||||
a_first = None
|
||||
a_last = None
|
||||
b_first = None
|
||||
b_last = None
|
||||
|
||||
ar = list()
|
||||
br = list()
|
||||
|
||||
for idx, uid in enumerate(common_uids):
|
||||
u = get_user(uid)
|
||||
ua = a.review_from(uid)
|
||||
ub = b.review_from(uid)
|
||||
|
||||
#if ua is None or ub is None:
|
||||
# continue
|
||||
|
||||
### calc oldest/newest for a/b reviews
|
||||
if a_first is None or a_first > ua.created:
|
||||
a_first = ua.created
|
||||
if a_last is None or a_last < ua.created:
|
||||
a_last = ua.created
|
||||
|
||||
if b_first is None or b_first > ub.created:
|
||||
b_first = ub.created
|
||||
if b_last is None or b_last < ub.created:
|
||||
b_last = ub.created
|
||||
|
||||
ar.append(ua.rating)
|
||||
br.append(ub.rating)
|
||||
|
||||
print(f"{idx}: {u.url} {u.name!r} {u.nreviews()} A:{ua.rating} {ua.created_str} B:{ub.rating} {ub.created_str}", file=fh)
|
||||
|
||||
print(f"# Reviews for A: {a_first} .. {a_last} avg: {round(np.mean(ar), 1)}", file=fh)
|
||||
print(f"# Reviews for B: {b_first} .. {b_last} avg: {round(np.mean(br), 1)}", file=fh)
|
||||
|
||||
|
||||
def compare(a: Company, b: Company):
|
||||
|
||||
""" old and slow but reliable compare """
|
||||
|
||||
debug_oids = os.getenv("DEBUG_OIDS", "").split(" ")
|
||||
debug_uids = os.getenv("DEBUG_UIDS", "").split(" ")
|
||||
|
||||
|
|
|
|||
|
|
@ -3,13 +3,15 @@ import numpy as np
|
|||
|
||||
|
||||
from .fd import BaseFD
|
||||
from ..user import User
|
||||
from ..user import User, get_user
|
||||
from ..company import Company
|
||||
from ..companydb import get_by_oid
|
||||
from ..review import Review
|
||||
from ..settings import settings
|
||||
from ..relation import RelationDict
|
||||
|
||||
|
||||
|
||||
"""
|
||||
test companies for relation (detect):
|
||||
2956015537022403
|
||||
|
|
@ -117,8 +119,17 @@ class RelationFD(BaseFD):
|
|||
|
||||
|
||||
if dname == 'risk_users':
|
||||
print(f"Risk users ({len(self.risk_users)} / {self.processed_users} > {settings.risk_user_ratio}%)", file=fh)
|
||||
|
||||
for idx, public_id in enumerate(self.risk_users.keys(), start=1):
|
||||
print(f"{idx}. {public_id} ({len(self.risk_users[public_id])}): {' '.join(self.risk_users[public_id])}", file=fh)
|
||||
u = get_user(public_id)
|
||||
print(f"user #{idx}. {public_id} {u.name} ({len(self.risk_users[public_id])}):", file=fh)
|
||||
for oid in self.risk_users[public_id]:
|
||||
crec = get_by_oid(oid)
|
||||
if crec:
|
||||
print(f" {oid} {crec['title']} {crec['address']}", file=fh)
|
||||
else:
|
||||
print(f" {oid} [special-not-a-company]", file=fh)
|
||||
|
||||
print(f"{len(self.risk_users)} / {self.processed_users} = {self.score['risk_users']}%", file=fh)
|
||||
print("", file=fh)
|
||||
|
|
|
|||
|
|
@ -98,4 +98,4 @@ class Review():
|
|||
else:
|
||||
title = "<NO TITLE>"
|
||||
|
||||
return f'Review({self.created_str} {self.provider} {self.uid} {user_str} {self.rating}) > {self.oid} {title})'
|
||||
return f'Review({self.created_str} {self.provider} {self.uid} {user_str} {self.rating} > {self.oid} {title})'
|
||||
|
|
@ -65,13 +65,14 @@ class Settings():
|
|||
# Other system parameters
|
||||
self.proxy = os.getenv('HTTPS_PROXY', None)
|
||||
|
||||
# web UI
|
||||
self.turnstile_sitekey = os.getenv('TURNSTILE_SITEKEY', None)
|
||||
self.turnstile_secret = os.getenv('TURNSTILE_SECRET', None)
|
||||
|
||||
self.gtag = os.getenv('GTAG', None)
|
||||
|
||||
# Debugging
|
||||
self.skip_oids = list(filter(None, os.getenv('SKIP_OIDS', '').split(' ')))
|
||||
|
||||
self.debug_uids = list(filter(None, os.getenv('DEBUG_UIDS', '').split(' ')))
|
||||
|
||||
def param_fp(self):
|
||||
return f"risk_hit={self.risk_hit_th} risk_median_th={self.risk_median_th} risk_highrate_th={self.risk_highrate_th} " \
|
||||
|
|
@ -81,7 +82,7 @@ class Settings():
|
|||
f"median_user_age={self.median_user_age} median_rpu={self.median_rpu} " \
|
||||
f"sametitle_rel={self.sametitle_rel} sametitle_ratio={self.sametitle_ratio} " \
|
||||
f"apply_empty_user_min={self.apply_empty_user_min} apply_median_rpu={self.apply_median_rpu} apply_median_userage={self.apply_median_userage} " \
|
||||
f"rating_diff={self.rating_diff}"
|
||||
f"rating_diff={self.rating_diff} max_review_age={self.max_review_age}"
|
||||
|
||||
|
||||
settings = Settings()
|
||||
|
|
@ -14,6 +14,19 @@
|
|||
|
||||
<!-- captcha -->
|
||||
<script src="https://challenges.cloudflare.com/turnstile/v0/api.js" defer></script>
|
||||
|
||||
{% if settings.gtag %}
|
||||
<!-- Google tag (gtag.js) -->
|
||||
<script async src="https://www.googletagmanager.com/gtag/js?id={{settings.gtag}}"></script>
|
||||
<script>
|
||||
window.dataLayer = window.dataLayer || [];
|
||||
function gtag(){dataLayer.push(arguments);}
|
||||
gtag('js', new Date());
|
||||
|
||||
gtag('config', 'G-MEH7Q9ZBRM');
|
||||
</script>
|
||||
{% endif %}
|
||||
|
||||
</head>
|
||||
<body>
|
||||
|
||||
|
|
|
|||
|
|
@ -1,8 +1,7 @@
|
|||
{% extends 'base.html' %}
|
||||
|
||||
{% block title %}2GIS антифрод - статистическая проверка отзывов{% endblock %}
|
||||
{% block header %}2GIS антифрод - проверка отзывов{% endblock %}
|
||||
|
||||
{% block title %}Проверка отзывов 2GIS :: Антифрод{% endblock %}
|
||||
{% block header %}Проверка отзывов 2GIS :: Антифрод{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<div id="result-container">
|
||||
|
|
|
|||
|
|
@ -98,7 +98,8 @@
|
|||
<td>{{rel.town}}</td>
|
||||
<td class="{{hit_class}}">{{rel.hits}}</td>
|
||||
<td>{{rel.median}}</td>
|
||||
<td class="{{rate_class}}">{{rel.arating | round(1) }} {{rel.brating | round(1)}}</td>
|
||||
<td class="{{rate_class}}"><a href="/compare/{{oid}}/{{rel.oid}}">
|
||||
{{rel.arating | round(1) }} {{rel.brating | round(1)}}</a></td>
|
||||
</tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue