US08-01: Make the Trust Boundary Configurable and Authenticated
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@@ -7,6 +7,9 @@ real external call needs them.
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pydantic-settings would do this too, but a prefix-scan over the declared fields
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is a few lines and one fewer dependency.
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Tuple-valued settings are lists in one variable: library roots are ``os.pathsep``
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separated because they are paths, everything else is comma separated.
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"""
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from __future__ import annotations
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@@ -20,6 +23,7 @@ from pydantic import BaseModel, ConfigDict, SecretStr
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ENV_PREFIX = "PHOTO_PIPELINE_"
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ENV_FILE_VAR = f"{ENV_PREFIX}ENV_FILE"
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DEFAULT_ENV_FILE = Path(".env")
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COMMA_LIST_FIELDS = frozenset({"allowed_hosts", "trusted_proxies"})
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# The archived CLI's variable names, so the configuration file an operator already
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# has keeps working. The vision provider reads the OpenAI SDK's names, and the
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@@ -85,6 +89,19 @@ class Config(BaseModel):
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log_level: str = "INFO"
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log_format: str = "json" # "json" or "text"
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# Trust boundary (US08-01). Empty means loopback only, which is what the app did
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# before there was a setting: a request whose Host is not a loopback name is
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# refused, and no secret is needed because nothing outside this machine can call.
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# Naming a real hostname here is what makes the app reachable through a reverse
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# proxy, and it is exactly then that ``access_secret`` becomes mandatory.
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allowed_hosts: tuple[str, ...] = ()
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# Addresses whose ``X-Forwarded-Proto``/``X-Forwarded-Host`` may be believed. A
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# client that is not the proxy can otherwise declare its own origin.
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trusted_proxies: tuple[str, ...] = ()
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# Exchanged for the session cookie at the bootstrap endpoint. Once set it is
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# required even on loopback, so a development setup cannot half-enable it.
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access_secret: SecretStr | None = None
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# Largest request body the API accepts. Every endpoint takes small JSON commands;
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# anything larger is a mistake or an attempt to exhaust memory (US07-02).
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max_request_bytes: int = 1_048_576
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@@ -131,5 +148,10 @@ class Config(BaseModel):
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raw = env.get(ENV_PREFIX + name.upper())
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if not raw:
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continue
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data[name] = raw.split(os.pathsep) if name == "library_roots" else raw
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if name == "library_roots":
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data[name] = raw.split(os.pathsep)
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elif name in COMMA_LIST_FIELDS:
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data[name] = [part.strip() for part in raw.split(",") if part.strip()]
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else:
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data[name] = raw
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return cls(**data)
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