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|
%global _empty_manifest_terminate_build 0
Name: python-blip-flowanalysis
Version: 0.6.1
Release: 1
Summary: A solution for chatbot constructors to identify problems in flow structure.
License: MIT License
URL: https://pypi.org/project/blip-flowanalysis/
Source0: https://mirrors.aliyun.com/pypi/web/packages/fd/d6/d510043aca5d40a68969f4f17d7b5b80353d17bb9a75b8188bf8c0d9d49e/blip_flowanalysis-0.6.1.tar.gz
BuildArch: noarch
Requires: python3-pytest-cov
Requires: python3-pytest-mock
Requires: python3-pytest
%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](https://pip.pypa.io/en/stable/) to install:
```shell script
pip install blip_flowanalysis
```
# Usage
## Missing Trackings analysis
Using the `MissingTrackigns` analyser:
```python
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:
```python
# 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:
```python
# 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:
```python
# 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](anaytics.dar@take.net)
# License
[MIT License](LICENSE)
%package -n python3-blip-flowanalysis
Summary: A solution for chatbot constructors to identify problems in flow structure.
Provides: python-blip-flowanalysis
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-blip-flowanalysis
# 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](https://pip.pypa.io/en/stable/) to install:
```shell script
pip install blip_flowanalysis
```
# Usage
## Missing Trackings analysis
Using the `MissingTrackigns` analyser:
```python
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:
```python
# 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:
```python
# 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:
```python
# 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](anaytics.dar@take.net)
# License
[MIT License](LICENSE)
%package help
Summary: Development documents and examples for blip-flowanalysis
Provides: python3-blip-flowanalysis-doc
%description help
# 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](https://pip.pypa.io/en/stable/) to install:
```shell script
pip install blip_flowanalysis
```
# Usage
## Missing Trackings analysis
Using the `MissingTrackigns` analyser:
```python
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:
```python
# 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:
```python
# 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:
```python
# 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](anaytics.dar@take.net)
# License
[MIT License](LICENSE)
%prep
%autosetup -n blip_flowanalysis-0.6.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-blip-flowanalysis -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.1-1
- Package Spec generated
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