feat: ingest pipeline (Candidate/Fetcher/ingest_candidate)
Per sub-project-2 plan Task 8 / spec §6. ingest_candidate dedupes, downloads, mechanically tags, drafts coordinates, builds a proposed Record and appends it; ingest_search loops over fetcher hits. All boundaries (download/prober/color_fn) injectable, so the pipeline is fully hermetic. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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"""Ingest seam: a Candidate shape, the Fetcher protocol, and the pipeline.
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Every external boundary — archive HTTP (download), ffprobe (prober), and the
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optional ffmpeg dominant-color (color_fn) — is injected, so the whole pipeline
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is exercised hermetically (no network, no binaries, no disk beyond tmp).
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"""
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from __future__ import annotations
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import logging
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Protocol
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from hef.catalog import (
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Record,
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append_record,
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load_catalog,
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validate,
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validate_catalog,
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)
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from tools.drafting import Signals
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from tools.http import HttpClient
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from tools.mediatools import compute_dominant_color
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from tools.probe import probe_file
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from tools.tagging import derive_tags
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log = logging.getLogger(__name__)
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_VIDEO_MODES = {"video", "av"}
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@dataclass
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class Candidate:
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source_archive: str # origin label, e.g. internet_archive | librivox | nasa
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source_url: str # human/landing URL recorded in the record
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media_url: str # direct download URL of the chosen file
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title: str
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license: str # normalized (tools.licensing) -> hef LICENSES vocab
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attribution: str # "" unless the license requires it
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suggested_id: str # stable id derived from archive + archive-identifier
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media_ext: str # file extension for the download target
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description: str = "" # free text used by drafting signals; lands in notes
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class Fetcher(Protocol):
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archive: str
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def search(self, query: str, *, limit: int) -> list[Candidate]: ...
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def resolve(self, identifier: str) -> Candidate: ...
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def _default_downloader(url, dest) -> None:
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client = HttpClient()
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dest.write_bytes(client.get_bytes(url))
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def ingest_candidate(
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candidate: Candidate,
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*,
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catalog_path,
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media_root,
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proposer,
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prober=probe_file,
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downloader=_default_downloader,
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compute_color: bool = False,
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color_fn=compute_dominant_color,
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):
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"""Ingest one candidate into the catalog as a `proposed` record.
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Returns the appended Record, or None if it was skipped as a duplicate.
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Raises CatalogError if the resulting record is invalid (e.g. an unmappable
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license) — nothing is appended in that case.
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"""
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catalog_path = Path(catalog_path)
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media_root = Path(media_root)
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# 1. Dedupe.
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existing = load_catalog(catalog_path) if catalog_path.exists() else []
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validate_catalog(existing)
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if any(r.id == candidate.suggested_id for r in existing):
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log.info("already in catalog, skipping: %s", candidate.suggested_id)
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return None
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# 2. Download (skip if already present).
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rel_path = f"{candidate.source_archive}/{candidate.suggested_id}.{candidate.media_ext}"
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dest = media_root / rel_path
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dest.parent.mkdir(parents=True, exist_ok=True)
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if not dest.exists():
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downloader(candidate.media_url, dest)
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# 3. Mechanical tagging.
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tags = derive_tags(prober(dest))
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dominant_color = ""
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if compute_color and tags.mode in _VIDEO_MODES:
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dominant_color = color_fn(dest, midpoint_s=tags.duration_s / 2)
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# 4. Draft coordinates.
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draft = proposer.propose(
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Signals(
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title=candidate.title,
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description=candidate.description,
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source_archive=candidate.source_archive,
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mode=tags.mode,
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duration_s=tags.duration_s,
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)
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)
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coord = draft.coordinate
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# 5. Build the record — proposed/reviewed_at=None falls out of the defaults.
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record = Record(
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id=candidate.suggested_id,
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title=candidate.title,
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source_url=candidate.source_url,
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source_archive=candidate.source_archive,
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license=candidate.license,
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mode=tags.mode,
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left=coord.left,
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right=coord.right,
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dark=coord.dark,
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light=coord.light,
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duration_s=tags.duration_s,
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file_path=rel_path,
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attribution=candidate.attribution,
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resolution=tags.resolution,
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dominant_color=dominant_color,
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rationale=draft.rationale,
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notes=candidate.description,
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)
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# 6. Validate + re-check uniqueness + append.
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validate(record)
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if any(r.id == record.id for r in existing): # racey re-check
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log.info("already in catalog (race), skipping: %s", record.id)
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return None
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append_record(record, catalog_path)
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return record
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def ingest_search(fetcher: Fetcher, query: str, *, limit: int, **kw):
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"""Run ingest_candidate over each search hit. Returns the appended records."""
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appended = []
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for candidate in fetcher.search(query, limit=limit):
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rec = ingest_candidate(candidate, **kw)
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if rec is not None:
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appended.append(rec)
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return appended
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