feat: add psagentai agent with deployment and configuration

Initial project setup including the main agent script, configuration files, profile JSON state, systemd service unit, startup script, deployment documentation, and Python dependencies. Includes .env, venv/, and __pycache__/ which should likely be excluded via .gitignore to avoid committing secrets and artifacts.
2026-10-25 17:05:13 -03:00
commit 6b3b6541a7
3792 changed files with 805563 additions and 0 deletions
@@ -0,0 +1,161 @@
+import json
+from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional, Sequence, Tuple, Type, Union
+
+from pydantic.v1.json import pydantic_encoder
+from pydantic.v1.utils import Representation
+
+if TYPE_CHECKING:
+    from typing_extensions import TypedDict
+
+    from pydantic.v1.config import BaseConfig
+    from pydantic.v1.types import ModelOrDc
+    from pydantic.v1.typing import ReprArgs
+
+    Loc = Tuple[Union[int, str], ...]
+
+    class _ErrorDictRequired(TypedDict):
+        loc: Loc
+        msg: str
+        type: str
+
+    class ErrorDict(_ErrorDictRequired, total=False):
+        ctx: Dict[str, Any]
+
+
+__all__ = 'ErrorWrapper', 'ValidationError'
+
+
+class ErrorWrapper(Representation):
+    __slots__ = 'exc', '_loc'
+
+    def __init__(self, exc: Exception, loc: Union[str, 'Loc']) -> None:
+        self.exc = exc
+        self._loc = loc
+
+    def loc_tuple(self) -> 'Loc':
+        if isinstance(self._loc, tuple):
+            return self._loc
+        else:
+            return (self._loc,)
+
+    def __repr_args__(self) -> 'ReprArgs':
+        return [('exc', self.exc), ('loc', self.loc_tuple())]
+
+
+# ErrorList is something like Union[List[Union[List[ErrorWrapper], ErrorWrapper]], ErrorWrapper]
+# but recursive, therefore just use:
+ErrorList = Union[Sequence[Any], ErrorWrapper]
+
+
+class ValidationError(Representation, ValueError):
+    __slots__ = 'raw_errors', 'model', '_error_cache'
+
+    def __init__(self, errors: Sequence[ErrorList], model: 'ModelOrDc') -> None:
+        self.raw_errors = errors
+        self.model = model
+        self._error_cache: Optional[List['ErrorDict']] = None
+
+    def errors(self) -> List['ErrorDict']:
+        if self._error_cache is None:
+            try:
+                config = self.model.__config__  # type: ignore
+            except AttributeError:
+                config = self.model.__pydantic_model__.__config__  # type: ignore
+            self._error_cache = list(flatten_errors(self.raw_errors, config))
+        return self._error_cache
+
+    def json(self, *, indent: Union[None, int, str] = 2) -> str:
+        return json.dumps(self.errors(), indent=indent, default=pydantic_encoder)
+
+    def __str__(self) -> str:
+        errors = self.errors()
+        no_errors = len(errors)
+        return (
+            f'{no_errors} validation error{"" if no_errors == 1 else "s"} for {self.model.__name__}\n'
+            f'{display_errors(errors)}'
+        )
+
+    def __repr_args__(self) -> 'ReprArgs':
+        return [('model', self.model.__name__), ('errors', self.errors())]
+
+
+def display_errors(errors: List['ErrorDict']) -> str:
+    return '\n'.join(f'{_display_error_loc(e)}\n  {e["msg"]} ({_display_error_type_and_ctx(e)})' for e in errors)
+
+
+def _display_error_loc(error: 'ErrorDict') -> str:
+    return ' -> '.join(str(e) for e in error['loc'])
+
+
+def _display_error_type_and_ctx(error: 'ErrorDict') -> str:
+    t = 'type=' + error['type']
+    ctx = error.get('ctx')
+    if ctx:
+        return t + ''.join(f'; {k}={v}' for k, v in ctx.items())
+    else:
+        return t
+
+
+def flatten_errors(
+    errors: Sequence[Any], config: Type['BaseConfig'], loc: Optional['Loc'] = None
+) -> Generator['ErrorDict', None, None]:
+    for error in errors:
+        if isinstance(error, ErrorWrapper):
+            if loc:
+                error_loc = loc + error.loc_tuple()
+            else:
+                error_loc = error.loc_tuple()
+
+            if isinstance(error.exc, ValidationError):
+                yield from flatten_errors(error.exc.raw_errors, config, error_loc)
+            else:
+                yield error_dict(error.exc, config, error_loc)
+        elif isinstance(error, list):
+            yield from flatten_errors(error, config, loc=loc)
+        else:
+            raise RuntimeError(f'Unknown error object: {error}')
+
+
+def error_dict(exc: Exception, config: Type['BaseConfig'], loc: 'Loc') -> 'ErrorDict':
+    type_ = get_exc_type(exc.__class__)
+    msg_template = config.error_msg_templates.get(type_) or getattr(exc, 'msg_template', None)
+    ctx = exc.__dict__
+    if msg_template:
+        msg = msg_template.format(**ctx)
+    else:
+        msg = str(exc)
+
+    d: 'ErrorDict' = {'loc': loc, 'msg': msg, 'type': type_}
+
+    if ctx:
+        d['ctx'] = ctx
+
+    return d
+
+
+_EXC_TYPE_CACHE: Dict[Type[Exception], str] = {}
+
+
+def get_exc_type(cls: Type[Exception]) -> str:
+    # slightly more efficient than using lru_cache since we don't need to worry about the cache filling up
+    try:
+        return _EXC_TYPE_CACHE[cls]
+    except KeyError:
+        r = _get_exc_type(cls)
+        _EXC_TYPE_CACHE[cls] = r
+        return r
+
+
+def _get_exc_type(cls: Type[Exception]) -> str:
+    if issubclass(cls, AssertionError):
+        return 'assertion_error'
+
+    base_name = 'type_error' if issubclass(cls, TypeError) else 'value_error'
+    if cls in (TypeError, ValueError):
+        # just TypeError or ValueError, no extra code
+        return base_name
+
+    # if it's not a TypeError or ValueError, we just take the lowercase of the exception name
+    # no chaining or snake case logic, use "code" for more complex error types.
+    code = getattr(cls, 'code', None) or cls.__name__.replace('Error', '').lower()
+    return base_name + '.' + code