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collectors/common.py

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  1. """Shared collector plumbing: polite HTTP, raw-file caching, provenance sidecars.
  3. Rules encoded here (see LICENSE_NOTES.md / DATA_SOURCES.md):
  4. - Every download lands in data/raw/<source>/ with a .meta.json sidecar
  5. recording url, retrieved_at, sha256, collector_version.
  6. - Identical requests are served from cache (resumable pipelines, no
  7. unnecessary re-downloads).
  8. - One polite global User-Agent; no identity rotation, no captcha evasion.
  9. """
  11. from __future__ import annotations
  13. import datetime
  14. import hashlib
  15. import json
  16. import pathlib
  17. import time
  19. import requests
  21. ROOT = pathlib.Path(__file__).resolve().parents[1]
  22. RAW_DIR = ROOT / "data" / "raw"
  23. CONFIG_PATH = ROOT / "config" / "sources.json"
  24. CONFIG = json.loads(CONFIG_PATH.read_text())
  26. COLLECTOR_VERSION = "0.1.0"
  27. UA = "LEASH-merchant-trust-data/0.1 (open-data research; cached, rate-limited, no-bypass)"
  30. def raw_dir(source: str) -> pathlib.Path:
  31. d = RAW_DIR / source
  32. d.mkdir(parents=True, exist_ok=True)
  33. return d
  36. def today() -> str:
  37. return datetime.datetime.now(datetime.timezone.utc).strftime("%Y-%m-%d")
  40. def utcnow() -> str:
  41. return datetime.datetime.now(datetime.timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
  44. def _request_key(url: str, params: dict | None, headers: dict | None) -> str:
  45. blob = json.dumps({"url": url, "params": params or {}, "headers": headers or {}}, sort_keys=True)
  46. return hashlib.sha256(blob.encode()).hexdigest()
  49. def get(
  50. url: str,
  51. source: str,
  52. filename: str,
  53. params: dict | None = None,
  54. headers: dict | None = None,
  55. timeout: int = 60,
  56. session: requests.Session | None = None,
  57. sleep_seconds: float = 0.0,
  58. overwrite: bool = False,
  59. cache_key: str | None = None,
  60. ) -> tuple[pathlib.Path, dict, bool]:
  61. """GET a URL into data/raw/<source>/<filename> with a provenance sidecar.
  63. Returns (path, meta, cached). Cache hit requires the same request key AND
  64. an existing file, so pipelines are resumable without re-downloading.
  65. `cache_key` overrides the derived request key (e.g. to decouple the cache
  66. identity from redirect-target URLs).
  67. """
  68. s = session or requests.Session()
  69. s.headers.update({"User-Agent": UA})
  70. if headers:
  71. s.headers.update(headers)
  73. d = raw_dir(source)
  74. meta_path = d / f"{filename}.meta.json"
  75. key = cache_key or _request_key(url, params, headers)
  77. if not overwrite and meta_path.exists():
  78. try:
  79. old = json.loads(meta_path.read_text())
  80. if old.get("request_key") == key and (d / old["file"]).exists():
  81. return d / old["file"], old, True
  82. except Exception:
  83. pass
  85. if sleep_seconds:
  86. time.sleep(sleep_seconds)
  88. r = s.get(url, params=params, timeout=timeout)
  89. r.raise_for_status()
  91. path = d / filename
  92. path.write_bytes(r.content)
  93. meta = {
  94. "source": source,
  95. "url": str(r.url),
  96. "file": filename,
  97. "http_status": r.status_code,
  98. "bytes": len(r.content),
  99. "sha256": hashlib.sha256(r.content).hexdigest(),
  100. "retrieved_at": utcnow(),
  101. "request_key": key,
  102. "collector_version": COLLECTOR_VERSION,
  103. "final_url": str(r.url),
  104. }
  105. meta_path.write_text(json.dumps(meta, indent=2))
  106. return path, meta, False
  109. def get_stream(
  110. url: str,
  111. source: str,
  112. filename: str,
  113. headers: dict | None = None,
  114. timeout: int = 180,
  115. chunk_size: int = 1 << 20,
  116. session: requests.Session | None = None,
  117. sleep_seconds: float = 0.0,
  118. overwrite: bool = False,
  119. cache_key: str | None = None,
  120. ) -> tuple[pathlib.Path, dict, bool]:
  121. """Streaming GET for large files (same sidecar/caching contract as get).
  123. Writes chunk-by-chunk to <filename>.part then atomically renames, so an
  124. interrupted download never poisons the cache. Use for anything >50MB.
  125. """
  126. s = session or requests.Session()
  127. s.headers.update({"User-Agent": UA})
  128. if headers:
  129. s.headers.update(headers)
  131. d = raw_dir(source)
  132. meta_path = d / f"{filename}.meta.json"
  133. key = cache_key or _request_key(url, {}, headers or {})
  135. if not overwrite and meta_path.exists():
  136. try:
  137. old = json.loads(meta_path.read_text())
  138. if old.get("request_key") == key and (d / old["file"]).exists():
  139. return d / old["file"], old, True
  140. except Exception:
  141. pass
  143. if sleep_seconds:
  144. time.sleep(sleep_seconds)
  146. tmp = d / f"{filename}.part"
  147. hasher = hashlib.sha256()
  148. total = 0
  149. with s.get(url, stream=True, timeout=timeout) as r:
  150. r.raise_for_status()
  151. with tmp.open("wb") as f:
  152. for chunk in r.iter_content(chunk_size=chunk_size):
  153. if not chunk:
  154. continue
  155. f.write(chunk)
  156. hasher.update(chunk)
  157. total += len(chunk)
  159. path = d / filename
  160. tmp.replace(path)
  161. meta = {
  162. "source": source,
  163. "url": str(r.url),
  164. "file": filename,
  165. "http_status": r.status_code,
  166. "bytes": total,
  167. "sha256": hasher.hexdigest(),
  168. "retrieved_at": utcnow(),
  169. "request_key": key,
  170. "collector_version": COLLECTOR_VERSION,
  171. "final_url": str(r.url),
  172. }
  173. meta_path.write_text(json.dumps(meta, indent=2))
  174. return path, meta, False
  177. def extract_tarball(archive: pathlib.Path, source: str, members: list[str] | None = None) -> pathlib.Path:
  178. """Extract a tar.gz into data/raw/<source>/extracted/ (idempotent).
  180. `members` optionally restricts extracted top-level paths (prefix match).
  181. Returns the extraction root.
  182. """
  183. import tarfile
  185. out = raw_dir(source) / "extracted"
  186. if out.exists() and any(out.iterdir()):
  187. return out
  188. out.mkdir(parents=True, exist_ok=True)
  189. with tarfile.open(archive, "r:gz") as tf:
  190. if members:
  191. tf.extractall(out, filter="data", members=[m for m in tf.getmembers() if m.name.startswith(tuple(members))])
  192. else:
  193. tf.extractall(out, filter="data")
  194. return out