langchain_community.utilities.gitlab
.GitLabAPIWrapper¶
- class langchain_community.utilities.gitlab.GitLabAPIWrapper[source]¶
Bases:
BaseModel
Wrapper for GitLab API.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- param gitlab_base_branch: Optional[str] = None¶
The base branch in the GitLab repository, used for comparisons. Usually ‘main’ or ‘master’. Defaults to ‘main’.
- param gitlab_branch: Optional[str] = None¶
The specific branch in the GitLab repository where the bot will make its commits. Defaults to ‘main’.
- param gitlab_personal_access_token: Optional[str] = None¶
Personal access token for the GitLab service, used for authentication.
- param gitlab_repository: Optional[str] = None¶
The name of the GitLab repository, in the form {username}/{repo-name}.
- comment_on_issue(comment_query: str) str [source]¶
Adds a comment to a gitlab issue Parameters:
comment_query(str): a string which contains the issue number, two newlines, and the comment. for example: “1
- Working on it now”
adds the comment “working on it now” to issue 1
- Returns:
str: A success or failure message
- Parameters
comment_query (str) –
- Return type
str
- classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) Model ¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
- Parameters
_fields_set (Optional[SetStr]) –
values (Any) –
- Return type
Model
- copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) Model ¶
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to include in new model
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to exclude from new model, as with values this takes precedence over include
update (Optional[DictStrAny]) – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep (bool) – set to True to make a deep copy of the model
self (Model) –
- Returns
new model instance
- Return type
Model
- create_file(file_query: str) str [source]¶
Creates a new file on the gitlab repo Parameters:
file_query(str): a string which contains the file path and the file contents. The file path is the first line in the string, and the contents are the rest of the string. For example, “hello_world.md
- # Hello World!”
- Returns:
str: A success or failure message
- Parameters
file_query (str) –
- Return type
str
- create_pull_request(pr_query: str) str [source]¶
Makes a pull request from the bot’s branch to the base branch Parameters:
pr_query(str): a string which contains the PR title and the PR body. The title is the first line in the string, and the body are the rest of the string. For example, “Updated README
- made changes to add info”
- Returns:
str: A success or failure message
- Parameters
pr_query (str) –
- Return type
str
- delete_file(file_path: str) str [source]¶
Deletes a file from the repo :param file_path: Where the file is :type file_path: str
- Returns
Success or failure message
- Return type
str
- Parameters
file_path (str) –
- dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAny ¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) –
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) –
by_alias (bool) –
skip_defaults (Optional[bool]) –
exclude_unset (bool) –
exclude_defaults (bool) –
exclude_none (bool) –
- Return type
DictStrAny
- classmethod from_orm(obj: Any) Model ¶
- Parameters
obj (Any) –
- Return type
Model
- get_issue(issue_number: int) Dict[str, Any] [source]¶
Fetches a specific issue and its first 10 comments :param issue_number: The number for the gitlab issue :type issue_number: int
- Returns
A dictionary containing the issue’s title, body, and comments as a string
- Return type
dict
- Parameters
issue_number (int) –
- get_issues() str [source]¶
Fetches all open issues from the repo
- Returns
A plaintext report containing the number of issues and each issue’s title and number.
- Return type
str
- json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) unicode ¶
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
- Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) –
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) –
by_alias (bool) –
skip_defaults (Optional[bool]) –
exclude_unset (bool) –
exclude_defaults (bool) –
exclude_none (bool) –
encoder (Optional[Callable[[Any], Any]]) –
models_as_dict (bool) –
dumps_kwargs (Any) –
- Return type
unicode
- classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ¶
- Parameters
path (Union[str, Path]) –
content_type (unicode) –
encoding (unicode) –
proto (Protocol) –
allow_pickle (bool) –
- Return type
Model
- parse_issues(issues: List[Issue]) List[dict] [source]¶
Extracts title and number from each Issue and puts them in a dictionary :param issues: A list of gitlab Issue objects :type issues: List[Issue]
- Returns
A dictionary of issue titles and numbers
- Return type
List[dict]
- Parameters
issues (List[Issue]) –
- classmethod parse_obj(obj: Any) Model ¶
- Parameters
obj (Any) –
- Return type
Model
- classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ¶
- Parameters
b (Union[str, bytes]) –
content_type (unicode) –
encoding (unicode) –
proto (Protocol) –
allow_pickle (bool) –
- Return type
Model
- read_file(file_path: str) str [source]¶
Reads a file from the gitlab repo :param file_path: the file path :type file_path: str
- Returns
The file decoded as a string
- Return type
str
- Parameters
file_path (str) –
- classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') DictStrAny ¶
- Parameters
by_alias (bool) –
ref_template (unicode) –
- Return type
DictStrAny
- classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) unicode ¶
- Parameters
by_alias (bool) –
ref_template (unicode) –
dumps_kwargs (Any) –
- Return type
unicode
- update_file(file_query: str) str [source]¶
Updates a file with new content. :param file_query: Contains the file path and the file contents.
The old file contents is wrapped in OLD <<<< and >>>> OLD The new file contents is wrapped in NEW <<<< and >>>> NEW For example: test/hello.txt OLD <<<< Hello Earth! >>>> OLD NEW <<<< Hello Mars! >>>> NEW
- Returns
A success or failure message
- Parameters
file_query (str) –
- Return type
str
- classmethod update_forward_refs(**localns: Any) None ¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
- Parameters
localns (Any) –
- Return type
None
- classmethod validate(value: Any) Model ¶
- Parameters
value (Any) –
- Return type
Model