Download builder/v044/external_review_framework/api_client.py from skyzhou06/StreamingOmniDatasets: direct link, hf CLI and curl.
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https://huggingface.co/datasets/skyzhou06/StreamingOmniDatasets/resolve/main/builder/v044/external_review_framework/api_client.py
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hf download hf://datasets/skyzhou06/StreamingOmniDatasets/builder/v044/external_review_framework/api_client.py
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curl -L -o api_client.py https://huggingface.co/datasets/skyzhou06/StreamingOmniDatasets/resolve/main/builder/v044/external_review_framework/api_client.py
6.9 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import hashlib | |
| import json | |
| import os | |
| import random | |
| import re | |
| import time | |
| import urllib.error | |
| import urllib.parse | |
| import urllib.request | |
| from dataclasses import dataclass | |
| from typing import Any | |
| RETRY_CODES = {429, 500, 502, 503, 504} | |
| def canonical_json(value: Any) -> str: | |
| return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":")) | |
| def sha256_json(value: Any) -> str: | |
| return hashlib.sha256(canonical_json(value).encode()).hexdigest() | |
| def extract_json(text: str) -> Any: | |
| text = text.strip() | |
| if text.startswith("```"): | |
| text = re.sub(r"^```(?:json)?\s*", "", text) | |
| text = re.sub(r"\s*```$", "", text) | |
| try: | |
| return json.loads(text) | |
| except json.JSONDecodeError: | |
| starts = [i for i in (text.find("["), text.find("{")) if i >= 0] | |
| if not starts: | |
| raise | |
| start = min(starts) | |
| for end in range(len(text), start, -1): | |
| try: | |
| return json.loads(text[start:end]) | |
| except json.JSONDecodeError: | |
| continue | |
| raise | |
| class ReviewResponse: | |
| raw_body: dict | |
| text: str | |
| parsed: Any | |
| usage: dict | |
| model_version: str | |
| latency_seconds: float | |
| request_hash: str | |
| response_hash: str | |
| status_code: int | |
| class ReviewClient: | |
| def __init__( | |
| self, | |
| api_type: str, | |
| base_url: str, | |
| api_key: str, | |
| model: str, | |
| timeout: int = 180, | |
| retries: int = 5, | |
| extra_body: dict | None = None, | |
| ): | |
| self.api_type = api_type | |
| self.base_url = base_url.rstrip("/") | |
| self.api_key = api_key | |
| self.model = model | |
| self.timeout = timeout | |
| self.retries = retries | |
| self.extra_body = extra_body or {} | |
| if api_type not in { | |
| "openai_compatible", "anthropic_compatible", "generic_http_json", | |
| "local_openai_compatible", "custom_adapter", | |
| }: | |
| raise ValueError(f"unsupported REVIEW_API_TYPE: {api_type}") | |
| def _request_spec(self, system: str, user: str, max_tokens: int) -> tuple[str, dict, dict]: | |
| if self.api_type == "anthropic_compatible": | |
| url = self.base_url + "/messages" | |
| body = { | |
| "model": self.model, | |
| "max_tokens": max_tokens, | |
| "system": system, | |
| "messages": [{"role": "user", "content": user}], | |
| } | |
| body.update(self.extra_body) | |
| headers = { | |
| "content-type": "application/json", | |
| "x-api-key": self.api_key, | |
| "anthropic-version": "2023-06-01", | |
| } | |
| return url, body, headers | |
| if self.api_type in {"openai_compatible", "local_openai_compatible"}: | |
| url = self.base_url + "/chat/completions" | |
| body = { | |
| "model": self.model, | |
| "temperature": 0, | |
| "max_tokens": max_tokens, | |
| "messages": [{"role": "system", "content": system}, {"role": "user", "content": user}], | |
| } | |
| body.update(self.extra_body) | |
| return url, body, {"content-type": "application/json", "authorization": f"Bearer {self.api_key}"} | |
| url = self.base_url | |
| body = {"model": self.model, "system": system, "input": user, "max_tokens": max_tokens} | |
| body.update(self.extra_body) | |
| return url, body, {"content-type": "application/json", "authorization": f"Bearer {self.api_key}"} | |
| def _parse_text(self, payload: dict) -> tuple[str, dict, str]: | |
| if self.api_type == "anthropic_compatible": | |
| text = "\n".join( | |
| block.get("text", "") for block in payload.get("content", []) | |
| if isinstance(block, dict) and block.get("type") == "text" | |
| ) | |
| usage = payload.get("usage", {}) | |
| model_version = str(payload.get("model", self.model)) | |
| return text, usage, model_version | |
| if self.api_type in {"openai_compatible", "local_openai_compatible"}: | |
| text = payload["choices"][0]["message"]["content"] | |
| return text, payload.get("usage", {}), str(payload.get("model", self.model)) | |
| text = payload.get("output") or payload.get("text") or payload.get("response") or "" | |
| return str(text), payload.get("usage", {}), str(payload.get("model", self.model)) | |
| def complete_json(self, system: str, user: str, max_tokens: int = 4096) -> ReviewResponse: | |
| url, body, headers = self._request_spec(system, user, max_tokens) | |
| public_request = {"url_host": urllib.parse.urlparse(url).netloc, "body": body} | |
| request_hash = sha256_json(public_request) | |
| encoded = canonical_json(body).encode() | |
| last_error: Exception | None = None | |
| for attempt in range(self.retries + 1): | |
| started = time.monotonic() | |
| try: | |
| request = urllib.request.Request(url, data=encoded, headers=headers, method="POST") | |
| with urllib.request.urlopen(request, timeout=self.timeout) as response: | |
| raw = response.read().decode("utf-8", errors="replace") | |
| payload = json.loads(raw) | |
| text, usage, model_version = self._parse_text(payload) | |
| parsed = extract_json(text) | |
| return ReviewResponse( | |
| raw_body=payload, text=text, parsed=parsed, usage=usage, | |
| model_version=model_version, latency_seconds=time.monotonic() - started, | |
| request_hash=request_hash, response_hash=hashlib.sha256(raw.encode()).hexdigest(), | |
| status_code=response.status, | |
| ) | |
| except urllib.error.HTTPError as exc: | |
| last_error = exc | |
| if exc.code not in RETRY_CODES or attempt >= self.retries: | |
| raise | |
| except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as exc: | |
| last_error = exc | |
| if attempt >= self.retries: | |
| raise | |
| delay = min(60.0, (2 ** attempt) + random.random()) | |
| time.sleep(delay) | |
| raise RuntimeError(f"request failed: {type(last_error).__name__}") | |
| def client_from_env(api_key: str) -> ReviewClient: | |
| extra = {} | |
| if os.environ.get("REVIEW_EXTRA_BODY_JSON"): | |
| extra = json.loads(os.environ["REVIEW_EXTRA_BODY_JSON"]) | |
| return ReviewClient( | |
| api_type=os.environ.get("REVIEW_API_TYPE", "anthropic_compatible"), | |
| base_url=os.environ["REVIEW_API_BASE_URL"], | |
| api_key=api_key, | |
| model=os.environ["REVIEW_MODEL_PRIMARY"], | |
| timeout=int(os.environ.get("REVIEW_TIMEOUT_SECONDS", "180")), | |
| retries=int(os.environ.get("REVIEW_MAX_RETRIES", "5")), | |
| extra_body=extra, | |
| ) | |