adapapi 0.1.1

A simple Python package using Appen API

Module adapapi

Classes

Appen(api_key) :

### Methods

`bonus_contributor(self, job_id, worker_id, amount_in_cents)`
:   Max at one time is $20.00 or 2000 cents
    
    Args:
        job_id (int): ADAP Job ID
        worker_id (int): ADAP Contributor ID
        amount_in_cents (int): Amount in cents. The max amount to bonus per API request is $20.00. Function will split out your amount in max $20.00 chunks + remainder if more than $20.00 is to be bonused.

`delete_unit(self, job_id, unit_id)`
:   Units cannot be deleted from a running or paused job.
    
    Args:
        job_id (int): ADAP job ID
        unit_id (int): ADAP Unit ID

`deprecate_job(self, job_id)`
:   Deprecating an ADAP job.
    
    Args:
        job_id (int): ADAP job ID

`download_jobid(self, job_id, reporttype, to_csv=False)`
:   Recommended to regenerate report first. Downloads ADAP report to DataFrame object or CSV file.
    
    Args:
        job_id (int): ADAP Job ID
        reporttype (str): ADAP report type -- full, aggregated, json, gold_report, workset, source
        to_csv (bool): True if report should be saved to CSV, False if report to output as DataFrame object
    
    Returns:
        Pandas dataframe: Pandas dataframe of report

`download_jobid_list(self, list_job_ids, reporttype, outfile_concat=False)`
:   Download reports from a list of job IDs
    
    Args:
        list_job_ids (list): list of job IDs
        reporttype (str): ADAP report type -- full, aggregated, json, gold_report, workset, source
        outfile_concat (boolean): Option to concat all of the downloaded reports into one Pandas dataframe. Default is set to False.
    
    Returns:
        Pandas dataframe: Dependent on outfile_concat flag, will return concatenated dataframe of all listed job IDs

`duplicate_job(self, job_id, include_uploaded_rows=False, include_tq=False)`
:   Duplicate ADAP job
    
    Args:
        job_id (int): ADAP Job ID
        include_uploaded_rows (bool): Flag to include previously uploaded rows. Includes test questions if present. Default set to False. 
        include_tq (bool): Flag to include test questions only.
    
    Returns:
        int: New ADAP Job ID

`get_all_jobs(self):
    """Retrieves list of all jobs. 
    More information https://developer.appen.com/#tag/Account-Info/paths/~1jobs.json/get

    Returns:
        list: List of all jobs.
    """

`filter_jobs_by_tag(self, tag)`
:   Retrieves list of job IDs with associated tag. 
    More information https://developer.appen.com/#tag/Account-Info/paths/~1jobs.json/get
    
    Args:
        tag (str): For multiple tags, delimit by comma. eg. 'tag1, tag2'
    
    Returns:
        list: List of job IDs with tag

`filter_jobs_by_title(self, title):
    """Retrieves list of job IDs with associated title.
    More information https://developer.appen.com/#tag/Account-Info/paths/~1jobs.json/get
    
    Args:
        title (str): keywords to search for in job title
    
    Returns:
        list: List of jobs with title
    """

`filter_jobs_by_copied_from(self, copied_from):
    """Retrieves list of job IDs with associated copied_from job_id.
    More information https://developer.appen.com/#tag/Account-Info/paths/~1jobs.json/get
    
    Args:
        copied_from (int): fileter jobs by the job id they were copied from
    
    Returns:
        list: List of jobs copied from  the copied_from_id

`get_unit_state(self, job_id, unit_id)`
:   Retrieves current unit state within job
    
    Args:
        job_id (int): ADAP Job ID
        unit_id (int): ADAP Unit ID
    
    Returns:
        dict: Dictionary containing _unit_id and _unit_state

`get_unit_state_row(self, job_id, row)`
:   Retrieves current unit state within job. To be used when row data needs to be returned.
    
    Args:
        job_id (int): ADAP Job ID
        row (Pandas Series or dictionary): Row from ADAP report 
    
    Returns:
        dict: Dictionary containing all data within row and _unit_state

`internal_launch(self, job_id, units_to_launch)`
:   Launching job internally
    
    Args:
        job_id (int): ADAP Job ID
        units_to_launch (int or str): Provide number of units to launch OR use "all" to launch all units.
    
    Returns:
        int: Number of units launched

`job_json(self, job_id)`
:   Get job json
    
    Args:
        job_id (int): ADAP Job ID
    
    Returns:
        dict: Job JSON

`job_summary(self, job_id)`
:   Getting job stats
    
    Args:
        job_id (int): ADAP Job ID
    
    Returns:
        dict: Returns golden_units, all_units, ordered_units, completed_units_estimate, needed_judgments, all_judgments, tainted_judgments, completed_gold_estimate, completed_non_gold_estimate

`regenerate_jobid(self, job_id, reporttype)`
:   Regenerates ADAP job
    
    Args:
        job_id (int_or_list): ADAP Job ID. If a list of job IDs provided, will regenerate them sequentially
        reporttype (str): ADAP report type -- full, aggregated, json, gold_report, workset, source

`split_column(self, job_id, columnname, character)`
:   Corresponds to the "Split Column" button in platform UI. This operation will split the contents of a column on a certain character, transforming strings into arrays of strings.
    
    Args:
        job_id (int): ADAP Job ID
        columnname (str): Column name
        character (str): Delimiting character

`tag_add(self, job_id, tag)`
:   Adding new tags. https://developer.appen.com/#tag/Manage-Job-Settings/paths/~1jobs~1{job_id}~1tags/post
    
    Args:
        job_id (int): ADAP Job ID
        tag (str): For multiple tags, delimit by comma. eg. 'tag1, tag2'

`tag_get(self, job_id)`
:   Tagging jobs. https://developer.appen.com/#tag/Manage-Job-Settings/paths/~1jobs~1{job_id}~1tags/post
    
    Args:
        job_id (int): ADAP Job ID
    
    Returns:
        list: List of tags attached to ADAP Job

`tag_replace(self, job_id, tag)`
:   Replacing existing tags with new tags. https://developer.appen.com/#tag/Manage-Job-Settings/paths/~1jobs~1{job_id}~1tags/post
    
    Args:
        job_id (int): ADAP Job ID
        tag (str): For multiple tags, delimit by comma. eg. 'tag1, tag2'

`unit_json(self, job_id, unit_id)`
:   Get unit json
    
    Args:
        job_id (int): ADAP Job ID
        unit_id (int): ADAP Unit ID
    
    Returns:
        dict: Unit JSON

`update_job_json(self, job_id, indict)`
:   Updating job settings
    
    Args:
        job_id (int): ADAP Job ID
        indict (dict): Dictionary of items to update within job json

`update_unit_state(self, job_id, unit_id, state)`
:   Updating unit state
    
    Args:
        job_id (int): ADAP job ID
        unit_id (int): ADAP Unit ID
        state (str): One of the following -- new, golden, finalized, canceled, deleted

`upload(self, data_to_upload, job_id=None)`
:   Uploads CSV (specify path), list of dictionaries, a single dictionary, or DataFrame. If no job ID is specified, a new job will be created.
    
    Args:
        data_to_upload (pd.DataFrame_or_str_or_list_or_dict): DataFrame object, path to CSV file, list of dictionaries, or single dictionary
        job_id (int): ADAP Job ID. If None then a new job will be created