Skip to main content

A solution for chatbot constructors to identify problems in flow structure.

Project description

Blip Flow Analysis

Blip Flow Analysis provides a solution for chatbot constructors to identify problems in flow structure that can be originated from bad structuring or poor organization.

Installation

Use pip to install:

pip install blip_flowanalysis

Usage

Missing Trackings analysis

Using the MissingTrackigns analyser:

import blip_flowanalysis as bfa

# Replace __chatbot_as_json__ parameter by your json bot.
bot_flow = bfa.Flow(__chatbot_as_json__)
analyser = bfa.MissingTrackings(minimum=1)

# Return `True` if amount of Trackings is above minimum, `False` otherwise.
print(analyser.analyse(bot_flow)) 

Process HTTP Return Validation analysis

Using the ProcessHTTPReturnValidation analyser:

# import json
import blip_flowanalysis as bfa

bot_json = str("Your chatbot json here.")
# bot_json = json.load("or your chatbot json file here")

bot_flow = bfa.Flow(bot_json)
http_analyser = bfa.ProcessHTTPReturnValidation()

# Report with "summary" and "details" with long scripts detections.
report = http_analyser.analyse(bot_flow)

print(report)

Output is like:

{
    "summary": {
        "process HTTP actions": n_process_http,
        "process HTTP actions regular": n_regular,
        "process HTTP actions missing status": n_missing_status,
        "process HTTP actions missing body": n_missing_body,
        "process HTTP actions improper declared body": n_improper_declared_body,
        "process HTTP actions any used body before status": n_any_used_body_before_status,
        "states count": n_states,
        "states with irregular process HTTP action": n_irregular_states
    },
    "details": [
        {
            "state id": state_id,  # State ID on bot flow.
            "state name": state_name,  # State name on bot flow.
            "io action": io_action,  # Any of inputActions and outputActions.
            "action number": action_number,  # Action position on actions list.
            "http method": http_method,  # Examples: GET, PUT, POST, ...
            "status variable": status_variable,  # Variable with response status value
            "body variable": body_variable,  # Variable with response body value
            "all paths used status": true/false,  # Check if all paths after process HTTP used status
            "all paths used body": true/false,  # Check if all paths after process HTTP used body
            "declared status": true/false,  # Check if status variable was declared
            "declared body": true/false,  # Check if body variable was declared
            "must use body": true/false,  # Check if HTTP method requires use body
            "must not declare body": true/false,  # Check if HTTP method requires not use body
            "paths with missing status": [  # Empty if "all paths used status" is true
                {
                    "path": [
                        {"id": state_id, "name": state_name},  # States on this path
                        ...
                    ],
                    "status use": {}  # On "paths with miss status" it is empty
                    "body use": {
                        "state": {"id": state_id, "name": state_name},  # State with first body use
                        "stage on state": stage,  # inputActions, outputs or outputActions
                        "index on stage": index  # Index on stage with first body use
                    }
                },
                ...
            ],
            "paths with missing body": [
                {
                    "path": [
                        {"id": state_id, "name": state_name},  # States on this path
                        ...
                    ],
                    "status use": {
                        "state": {"id": state_id, "name": state_name},  # State with first status use
                        "stage on state": stage,  # inputActions, outputs or outputActions
                        "index on stage": index  # Index on stage with first status use
                    }
                    "body use": {}  # On "paths with miss body" it is empty
                },
                ...
            ],
            "paths with body before status": [
                {
                    "path": [
                        {"id": state_id, "name": state_name},  # States on this path
                        ...
                    ],
                    "status use": {
                        "state": {"id": state_id, "name": state_name},  # State with first status use
                        "stage on state": stage,  # inputActions, outputs or outputActions
                        "index on stage": index  # Index on stage with first status use
                    }
                    "body use": {
                        "state": {"id": state_id, "name": state_name},  # State with first body use
                        "stage on state": stage,  # inputActions, outputs or outputActions
                        "index on stage": index  # Index on stage with first body use
                    }
                },
                ...
            ],
            "causes": causes  # Explain why this process HTTP return validation is irregular.
        },
        ...
    ]
}

Long Scripts analysis

Using the LongScript analyser:

# import json
import blip_flowanalysis as bfa

bot_json = str("Your chatbot json here.")
# bot_json = json.load("or your chatbot json file here")

bot_flow = bfa.Flow(bot_json)
ls_analyser = bfa.LongScript()

# Report with "summary" and "details" with long scripts detections.
report = ls_analyser.analyse(bot_flow)

print(report)

Output is like:

{
    "summary": {
        "scripts count": n_scripts,
        "scripts too long": n_long_scripts,
        "states count": n_states,
        "states with too long scripts": n_irregular_states
    },
    "details": [
        {
            "state id": state_id,  # State ID on bot flow.
            "state name": state_name,  # State name on bot flow.
            "io action": io_action,  # Any of inputActions and outputActions.
            "action number": action_number,  # Action position on actions list.
            "script": script,  # Script.
            "chars": length,  # Code characters quantity.
            "lines": lines,  # Not blank code lines quantity.
            "functions": functions,  # Top level functions quantity.
            "commands": commands,  # Commands quantity.
            "lines by commands": lines_by_commands,  # Lines commands ratio.
            "causes": cause  # Explain why this script was detected.
        },
        ...
    ]
}

Duplicated Paths analysis

Using the DuplicatedPaths analyser:

# import json
import blip_flowanalysis as bfa

bot_json = str("Your chatbot json here.")
# bot_json = json.load("or your chatbot json file here")

bot_flow = bfa.Flow(bot_json)
dp_analyser = bfa.DuplicatedPaths()

# Report with "summary" and "details" with long scripts detections.
report = dp_analyser.analyse(bot_flow)

print(report)

Output is like:

{
    "summary": {
        "pairs of duplicated paths": n_duplicated_paths,
        "states count": n_states,
        "states on duplicated paths": n_irregular_states
    },
    "details": [
        {
            "levels quantity": n_levels,  # Quantity of levels on path
            "states quantity": n_states_on_path,  # Quantity of states on path
            "root 0": {"id": state_id, "name": state_name},  # State as root on path 0
            "root 1": {"id": state_id, "name": state_name},  # State as root on path 1
            "path 0": {  # Path 0
                "level 0": [  # First level on path 0
                    {"id": state_id, "name": state_name},  # States on level 0 on path 0
                    ...  # Other states
                ],
                ...  # Other levels
            },
            "path 1": {  # Path 1
                "level 0": [  # First level on path 1
                    {"id": state_id, "name": state_name},  # States on level 0 on path 1
                    ...  # Other states
                ],
                ...  # Other levels
            },
        },
        ...
    ]
}

Author

Take Data&Analytics Research

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

blip_flowanalysis-0.6.1.tar.gz (31.3 kB view hashes)

Uploaded source

Built Distribution

blip_flowanalysis-0.6.1-py3-none-any.whl (45.0 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page