Samir Boulahtit
6d6eba75bf
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Migrates scanning pipeline from marketing-.lu-domains app into Orion module. Supports digital (domain scan) and offline (manual capture) lead channels with enrichment, scoring, campaign management, and interaction tracking. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
70 lines
1.5 KiB
Python
70 lines
1.5 KiB
Python
# app/modules/prospecting/schemas/enrichment.py
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"""Pydantic response schemas for enrichment/scanning endpoints."""
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from pydantic import BaseModel
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class HttpCheckResult(BaseModel):
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"""Response from a single HTTP check."""
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has_website: bool
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uses_https: bool | None = None
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http_status_code: int | None = None
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redirect_url: str | None = None
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class HttpCheckBatchItem(BaseModel):
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"""Single item in a batch HTTP check response."""
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domain: str
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has_website: bool
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uses_https: bool | None = None
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http_status_code: int | None = None
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redirect_url: str | None = None
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class HttpCheckBatchResponse(BaseModel):
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"""Response from batch HTTP check."""
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processed: int
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results: list[HttpCheckBatchItem]
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class ScanSingleResponse(BaseModel):
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"""Response from a single scan (tech or performance)."""
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domain: str
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profile: bool
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class ScanBatchResponse(BaseModel):
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"""Response from a batch scan."""
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processed: int
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successful: int
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class ContactScrapeResponse(BaseModel):
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"""Response from a single contact scrape."""
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domain: str
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contacts_found: int
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class FullEnrichmentResponse(BaseModel):
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"""Response from full enrichment pipeline."""
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domain: str
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has_website: bool | None = None
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tech_scanned: bool
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perf_scanned: bool
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contacts_found: int
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score: int
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lead_tier: str
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class ScoreComputeBatchResponse(BaseModel):
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"""Response from batch score computation."""
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scored: int
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