Type4Py's Rest API provides a predict endpoint, which accepts a Python source file via a POST request. A minimal example is given below in Python.
The response contains type information in JSON format. See here for the description of the response format. For other programming languages, it should be possible to write a similar code like the above example.
{
"error":"None",
"response":{
"classes":[
{
"cls_var_ln":{
"cls_var_name":[[4,4],[4,13]]
},
"cls_var_occur":{
"cls_var_name":[["token","var","name"]]
},
"funcs":[
{
"docstring":{"func":"None","long_descr":"None","ret":"None"},
"fn_lc":[[5,4],[8,28]],
"fn_var_ln":{"var_name":[[7,8],[7,16]],},
"fn_var_occur":{"var_name":[["token","var","name"]]},
"name":"__init__",
"params":{"age":"int",},
"params_descr":{"age":"comment"},
"params_occur":{"age":[["self","age","age"]],},
"params_p":{"age":[["int",0.9999999991180025],["str", 2.3463255785983247e-10]],},
"q_name":"Person.__init__",
"ret_exprs":[""],
"ret_type":"None",
"variables":{"age":""
},
"variables_p":{"age":[["int", 0.2801499039103035]],}
},
{
"docstring":{
"func":"None","long_descr":"None","ret":"None"
},
"fn_lc":[[10,4],[11,24]],
"fn_var_ln":{
},
"fn_var_occur":{
},
"name":"get_name",
"params":{
},
"params_descr":{
},
"params_occur":{
},
"params_p":{
},
"q_name":"Person.get_name",
"ret_exprs":["return self.name"],
"ret_type":"",
"ret_type_p":[["str", 0.7073830464758581]],
"variables":{
},
"variables_p":{
}
}
],
"name":"Person",
"q_name":"Person",
"variables":{"person_id":""},
"variables_p":{
"person_id":[["str", 0.703074717210447],]
}
}
],
"funcs":[
{
"docstring":{"func":"None","long_descr":"None","ret":"None"},
"fn_lc":[[18,0],[25,18]],
"fn_var_ln":{"leave_hours":[[19,4],[19,15]],},
"fn_var_occur":{"leave_hours":[["no_hours","leave_hours"]],},
"name":"work",
"params":{"no_hours":""},
"params_descr":{"no_hours":""},
"params_occur":{"no_hours":[["no_hours","leave_hours"]],},
"params_p":{"no_hours":[["Type", 0.0999]]},
"q_name":"work",
"ret_exprs":["return \"Done!\""],
"ret_type":"",
"ret_type_p":[["str", 0.287441260068372]],
"variables":{"leave_hours":""},
"variables_p":{"leave_hours":[["int",0.2]]}
}
],
"imports":["os"],
"mod_var_ln":{"A_GLOBAL_VAR":[[1,0],[1,12]]},
"mod_var_occur":{"A_GLOBAL_VAR":["token"]},
"no_types_annot":{"D":1,"I":0,"U":14},
"session_id":"a0bvkdCC8utA35r8JrOho07FrDpV9qaLr2lccFzoXB4",
"set":"None",
"tc":[false,"None"],
"type_annot_cove":0.07,
"typed_seq":"",
"untyped_seq":"",
"variables":{"A_GLOBAL_VAR":""},
"variables_p":{"A_GLOBAL_VAR":[["str",0.41389838221497904]]}
}
}
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