Instapy-Tools
Note: this lib is pre v1 stage, expect thing breaking/buggy.
Want to build on top of Instapy? Then this is the toolset for you!
Batteries included:
- Ability to generate machine readable api in JSON format from python code
- Be able to controle the bot directly from js, using docker-compose
- TypeScript InstaPy api, generated from api.json (comming soon™)
Requirements:
- node > 10
- docker
- docker-compose
- linux, Note: Using windows/mac and it works somehow let me now :)
Usage
Api from generated api.json
import and extract api methods
import { api } from 'instapy-tools'
const { raw
, setupValidateMethod
, setupMethod
, setupCreate
, setupArgComponent
, setupInterface
} = api
jsonApiObj
(api.json)
getting the raw console.log(raw) // thats it...
setting up and using validateMethod
// setup
const validateMethod = setupValidateMethod(raw)
//usage
const validatedMethod1 =
validateMethod
( { name: 'like_by_tags'
, args:
{ tags: ['#cats', '#coolcats', '#aliencatsinspace']
, amount: 50
}
}
)
console.log(validatedMethod1) // true
const validatedMethod2 =
validateMethod
( { name: 'like_by_tags'
, args:
{ tags: ['#cats', '#coolcats', '#aliencatsinspace']
, usernames: ['#user1', '#user2'] // dosen't exist on the method
}
}
)
console.log(validatedMethod2) // false
const validatedMethod3 =
validateMethod
( { name: 'like_by_tags'
, args:
{ tags: ['#cats', '#coolcats', '#aliencatsinspace']
, amount: -1 // lower than the constraint
}
}
)
console.log(validatedMethod3) // false
setting up and using method
const method = setupMethod(raw) // uses 'session' as default name for the sessionObject
const methodBot = setupMethod(raw, 'bot') // now uses 'bot' for the sessionObject
const methodLine1 =
method
( { name: 'like_by_tags'
, args:
{ tags: ['#cats', '#coolcats', '#aliencatsinspace']
, amount: 50
}
}
)
const methodLine1Bot =
methodBot
( { name: 'like_by_tags'
, args:
{ tags: ['#cats', '#coolcats', '#aliencatsinspace']
, amount: 50
}
}
)
console.log(methodLine1) // 'session.like_by_tags(tags=['#cats', '#coolcats', 'aliencatsinspace'], amount=50)'
console.log(methodLine1Bot) // 'bot.like_by_tags(tags=['#cats', '#coolcats', 'aliencatsinspace'], amount=50)'
special case for the initializer
const methodInit =
method
( { name: '__init__'
, args:
{ username: 'userName'
, password: 'passWord'
}
}
)
console.log(methodInit) // session = InstaPy(username='userName', password='passWord')
Seting up and using create
const create = setupCreate() // normal run, uses default InstaPyPath
const smartRunCreate = setupCreate(true) // uses smart_run, default InstaPyPath
const create = setupCreate(false, '/path/to/instapy/project')
const config =
create
( [ method({name: '__init__', args: {someArgs...}})
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, '# a python comment in the code'
, method(with some input...)
, method(with some input...)
, method({name: 'end'})
]
)
const smartConfig =
create
( [ method({name: '__init__', args: {someArgs...}})
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, method(with some input...)
, '# a python comment in the code'
, method(with some input...)
, method(with some input...)
, method({name: 'end'})
]
)
console.log(config)
/*
from instapy import InstaPy
from instapy.util import smart_run
session = InstaPy(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
# a python comment in the code
session.method(...)
session.method(...)
session.end()
*/
console.log(smartConfig)
/*
from instapy import InstaPy
from instapy.util import smart_run
session = InstaPy(...)
with smart_run(session):
session.method(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
session.method(...)
# a python comment in the code
session.method(...)
session.method(...)
session.end()
*/
create([...string], true) // will write the output to 'docker_quickstart.py'
create([...string], true, 'my-config.py') // will write the output to 'my-config.py'
Setup interface/ setup arg component
To "easily" generate an ui from api.json use these functions setupInterface
and setupArgComponent
// def: default value given to argComponent
// argName: name given of argument
const fallbackComponent =
(def, argName) => {
// gets returned when it couldn't make out the type
console.log(`${argName} has Type: fallback with default: ${def}`)
}
const noneComponent =
(def, argName) => () => {
console.log(`${argName} has Type: None with default: ${def}`)
}
const booleanComponent =
(def, argName) => () => {
console.log(`${argName} has Type: Boolean with default: ${def}`)
}
const stringComponent =
(def, argName) => () => {
console.log(`${argName} has Type: String with default: ${def}`)
}
// _constraints:
// { _step: undefined | number
// , _min: undefined | number
// , _max: undefined | number
// }
const numberComponent =
(_constraints) => (def, argName) => () => {
console.log(`${argName}, Type: Number, default: ${def}`)
}
// _subType: 'Number' | 'String' // Note: It is never 'Number'
const arrayComponent =
(_subType) => (def, argName) => () => {
console.log(`${argName}, Type: Array, default: ${def}`)
}
// _subTypes list of all the types in order
const tupleComponent =
(_subTypes) => (def, argName) => () => {
// _subTypes.map(argComponent) <- use something like this here
console.log(`${argName}, Type: Tuple, default: ${def}`)
}
// _options: list of Types, Numbers and Strings
const unionComponent =
(_options) => (def, argName) => () => {
console.log(`${argName}, Type: Union, default: ${def}`)
}
const argComponent =
setupArgComponent
( { _default: fallbackComponent
, boolean: booleanComponent
, string: stringComponent
, number: numberComponent
, array: arrayComponent
, tuple: tupleComponent
, union: unionComponent
}
)
// args: { argName: buildArg } from raw.<methodName>.args
// methodName: said name of method from raw.<methodName>
const methodComponent =
(args, methodName) => () => {
//do everything you need to do
console.log(methodName)
if (args !== undefined) {
if (args.enabled !== undefined) {
args.enabled()
}
if (args.percentage !== undefined) {
args.percentage()
}
if (args.times !== undefined) {
args.times()
}
}
}
const interface =
setupInterface
( raw
, methodComponent
, argComponent
)
interface.set_do_follow()
// set_do_follow
// enabled, Type: Union, default: false
// percentage, Type: Union, default: 0
// times, Type: Number, default: 1
Control bot from TS/JS
Setup controls
import { setupControls } from 'instapy-tools'
const controls = setupControls('Instapy') // Takes a string location to InstaPy Project Location
controls
.start()
.then( (val:any) => {console.log(val)}) // Bot started
start
// Starts bot using docker-compose
// Uses "docker_quickstart.py" as configuration file taken from InstaPy Project path
controls
.start()
.then( (val:any) => {console.log(val)}) // Bot started
stop
// Stops bot using docker-compose
controls
.stop()
.then( (val:any) => {console.log(val)}) // Bot stopped
status
// Watch bot-status using docker-compose
// returns: 'Not Initialised' | 'Done' | 'Running' | 'Stopped'
// (status: string) => {}
status()
.then( (val:any) => {console.log(val)}) // Done
// Give a function to set that gets called everytime botStatus get changed.
controls
.status
.set( (botStatus:string) => { console.log(botStatus) })
// Remove given function
controls
.status
.reset()
logs
// Watch bot-logs using docker-compose
// returns: a log line concurrently at InstaPy's output
// Give a function to set that gets called everytime a new log is given
// (logLine: string) => {}
controls
.logs
.set((logLine: string) => {console.log(logLine)} )
// Attaching to instapy_web_1...
// web_1_3e4... | --2018-12-19 ...
// '' | Resolving...
// Remove given function
controls
.logs
.reset()
Generating api.json
Deprecated this kind of functionality will be moved to InstaPy soon, hopefully
Cloning InstaPy Project
npm run instapy:clone
Updating InstaPy
npm run instapy:update
Generate api.json
npm run gen-api
Develop api.json
npm run gen-api:dev
Updating and publishing the Project
npm version <major | minor | patch>
npm publish
To-Do
- generate api.json, 'including types'
- expose api generated from api.json
- add bot controls