Python requests.post() Examples

def getTicket():
    # put the ip address or dns of your apic-em controller in this url
    url = "https://" + controller + "/api/v1/ticket"

    #the username and password to access the APIC-EM Controller
    payload = {"username":"usernae","password":"password"}

    #Content type must be included in the header
    header = {"content-type": "application/json"}

    #Performs a POST on the specified url to get the service ticket
    response= requests.post(url,data=json.dumps(payload), headers=header, verify=False)

    #convert response to json format
    r_json=response.json()

    #parse the json to get the service ticket
    ticket = r_json["response"]["serviceTicket"]

    return ticket 

def bindiff_export(self, sample, is_64_bit = True, timeout = None):
        """
        Load a sample into IDA Pro, perform autoanalysis and export a BinDiff database.
        :param sample: The sample's path
        :param is_64_bit: If the sample needs to be analyzed by the 64 bit version of IDA
        :param timeout: Timeout for the analysis in seconds
        :return: The file name of the exported bindiff database. The file needs
        to be deleted by the caller. Returns None on error.
        """

        data_to_send = {
            "timeout": timeout,
            "is_64_bit": is_64_bit}
        url = "%s/binexport" % next(self._urls)
        log.debug("curl -XPOST --data '%s' '%s'", json.dumps(data_to_send), url)
        response = requests.post(url, data = data_to_send, files = {os.path.basename(sample): open(sample, "rb")})
        if response.status_code == 200:
            handle, output = tempfile.mkstemp(suffix = ".BinExport")
            with os.fdopen(handle, "wb") as f:
                map(f.write, response.iter_content(1024))
            return output
        else:
            log.error("Bindiff server responded with status code %d: %s", response.status_code, response.content)
            return None 

def post(self, endpoint, args, data=None, files=None, filename=None,
             mode=None):
        if mode == 'nojsondumps':
            headers = {'Content-type': 'application/x-www-form-urlencoded; charset=utf-8'}
            r = requests.post(endpoint, params=args, data=data, headers=headers)
        elif files is None:
            headers = {'Content-type': 'application/json; charset=utf-8'}
            r = requests.post(endpoint, params=args, json=data, headers=headers)
        elif files is not None:
            mimetype = mimetypes.guess_type(files)[0]
            file = {filename: (files, open(files, 'rb'), mimetype)}
            r = requests.post(endpoint, params=args, json=data, files=file)
        r_json = r.json()
        if r_json.get('success'):
            return r_json
        else:
            raise MarketoException(r_json['errors'][0]) 

def like(self, mid, postid, likeType=1001):

        header = {
            "Content-Type" : "application/json",
            "X-Line-Mid" : self.mid,
            "x-lct" : self.channel_access_token,
        }

        payload = {
            "likeType" : likeType,
            "activityExternalId" : postid,
            "actorId" : mid
        }

        r = requests.post(
            "http://" + self.host + "/mh/api/v23/like/create.json?homeId=" + mid,
            headers = header,
            data = json.dumps(payload)
        )

        return r.json() 

def nli(self, text, cusid=None):
        response = requests.post(self.URL, params=self._gen_parameters('nli', text, cusid))
        response.raise_for_status()
        response_json = response.json()
        if response_json['status'] != 'ok':
            raise NliStatusError("NLI responded status != 'ok': {}".format(response_json['status']))
        else:
            nli_obj = response_json['data']['nli'][0]
            return self.intent_detection(nli_obj) 

def pickle_export(self, sample, is_64_bit = True, timeout = None):
        """
        Load a sample into IDA Pro, perform autoanalysis and export a pickle file. 
        :param sample: The sample's path
        :param is_64_bit: If the sample needs to be analyzed by the 64 bit version of IDA
        :param timeout: Timeout for the analysis in seconds
        :return: The file name of the exported pickle database. The file needs
        to be deleted by the caller. Returns None on error.
        """

        data_to_send = {
            "timeout": timeout,
            "is_64_bit": is_64_bit}
        url = "%s/pickle" % next(self._urls)
        log.debug("curl -XPOST --data '%s' '%s'", json.dumps(data_to_send), url)
        response = requests.post(url, data = data_to_send, files = {os.path.basename(sample): open(sample, "rb")})
        if response.status_code == 200:
            handle, output = tempfile.mkstemp(suffix = ".pickle")
            with os.fdopen(handle, "wb") as f:
                map(f.write, response.iter_content(1024))
            return output
        else:
            log.error("Bindiff server responded with status code %d: %s", response.status_code, response.content)
            return None 

def compare(self, primary, secondary, timeout = None):
        """
        Run BinDiff on the two BinDiff databases.
        :param primary: The first BinExport database
        :param secondary: The second BinExport database
        :param timeout: Timeout for the command in seconds
        :returns: The directory name of the directory with the generated data on the shared volume
        """

        url = "%s/compare" % next(self._urls)
        log.debug("curl -XPOST --form 'timeout=%s' --form 'primary=@%s' --form 'secondary=@%s' '%s'", str(timeout), primary, secondary, url)
        response = requests.post(url, data = {"timeout": timeout}, \
                files = {"primary": open(primary, "rb"), "secondary": open(secondary, "rb")})

        if response.status_code == 200:
            handle, path = tempfile.mkstemp(suffix = ".bindiff.sqlite3")
            with os.fdopen(handle, "wb") as f:
                map(f.write, response.iter_content(1024))
            return path
        else:
            log.error("Bindiff server responded with status code %d: %s", response.status_code, response.content)
            return None 

def querylanguage(auth):
    """Query user's language that's available on v2c."""
    default = 'en'

    r = requests.post(
        url=api_url.replace('index.php', 'api.php'),
        data={
            'action': 'query',
            'format': 'json',
            'meta': 'userinfo',
            'uiprop': 'options'
        },
        auth=auth
    )

    try:
        language = r.json()['query']['userinfo']['options']['language']
    except (NameError, KeyError):
        return default

    if not language:
        return default

    return language 

def new_post(self, text):

        header = {
            "Content-Type": "application/json",
            "User-Agent" : self.UA,
            "X-Line-Mid" : self.mid,
            "x-lct" : self.channel_access_token,
        }

        payload = {
            "postInfo" : { "readPermission" : { "type" : "ALL" } },
            "sourceType" : "TIMELINE",
            "contents" : { "text" : text }
        }

        r = requests.post(
            "http://" + self.host + "/mh/api/v24/post/create.json",
            headers = header,
            data = json.dumps(payload)
        )

        return r.json() 

def postPhoto(self,text,path):
        header = {
            "Content-Type": "application/json",
            "User-Agent" : self.UA,
            "X-Line-Mid" : self.mid,
            "x-lct" : self.channel_access_token,
        }

        payload = {
            "postInfo" : { "readPermission" : { "type" : "ALL" } },
            "sourceType" : "TIMELINE",
            "contents" : { "text" : text ,"media" :  [{u'objectId': u'F57144CF9ECC4AD2E162E68554D1A8BD1a1ab0t04ff07f6'}]}
        }
        r = requests.post(
            "http://" + self.host + "/mh/api/v24/post/create.json",
            headers = header,
            data = json.dumps(payload)
        )

        return r.json() 

def comment(self, mid, postid, text):
        header = {
            "Content-Type" : "application/json",
            "X-Line-Mid" : self.mid,
            "x-lct" : self.channel_access_token,
        }

        payload = {
            "commentText" : text,
            "activityExternalId" : postid,
            "actorId" : mid
        }

        r = requests.post(
            "http://" + self.host + "/mh/api/v23/comment/create.json?homeId=" + mid,
            headers = header,
            data = json.dumps(payload)
        )

        return r.json() 

def createAlbum(self,gid,name):
        header = {
                    "Content-Type": "application/json",
                    "User-Agent" : self.UA,
                    "X-Line-Mid" : self.mid,
                    "x-lct" : self.channel_access_token,
        }
        payload = {
                "type" : "image",
                "title" : name
        }
        r = requests.post(
            "http://" + self.host + "/mh/album/v3/album?count=1&auto=0&homeId=" + gid,
            headers = header,
            data = json.dumps(payload)
        )
        return r.json() 

def post_image(self):
    try:
      self.image_b64()
    except Exception as e: raise Exception("Image cant be converted.");
    payload = "data=data:image/jpeg;base64," + self.b64img
    payload += '&filter=*&trial=4'
    header = {
      'Host':'whatanime.ga',
      'accept':'application/json, text/javascript, */*; q=0.01',
      'content-type':'application/x-www-form-urlencoded; charset=UTF-8',
      'origin':'https://whatanime.ga',
      'referer':'https://whatanime.ga/',
      'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36',
      'x-requested-with':'XMLHttpRequest',
    }
    r = requests.post('https://whatanime.ga/search', data=payload, headers=header)
    if r.status_code == 200:
      return r.json()
    else:
      raise Exception("Post failed.") 

def _must_post(self, api, data=None, json=None, timeout=10, **kwargs):
        if data is not None:
            kwargs['data'] = data
        elif json is not None:
            kwargs['json'] = json
        else:
            kwargs['data'] = {}
        kwargs['timeout'] = timeout

        try:
            r = requests.post(api, **kwargs)
            return r
        except requests.exceptions.Timeout:
            logger.error("Timeout requesting Gitter")
        except KeyboardInterrupt:
            raise
        except:
            logger.exception("Unknown error requesting Gitter")
        return None 

def upload_image(self, filename=None, filedata=None, **kwargs) -> str:
        if filedata is None:
            files = {"image": open(filename, 'rb')}
        else:
            files = {"image": filedata}

        try:
            r = requests.post(self.url, files=files, timeout=5)
        except requests.exceptions.Timeout:
            logger.error("Timeout uploading to VimCN")
            return None
        except:
            logger.exception("Unknown errror uploading to VimCN")
            return None
        if not r.ok:
            return None
        return r.text.strip() 

def comparetext (text1, text2, api=__ls_api):
  """
  Computes the semantic similarity between two given text strings. Returns a score between [-1, 1].

  Parameters
  ----------
  text1 : string

  text2 : string

  api : string (default=cloud release endpoint)
      The endpoint you wish to hit for the concept labeling task. Default is the release version of the Microsoft Academic Language Similarity API.    
  """
  body = {
    "Text1": text1,
    "Text2": text2
  }
  endpoint = api + 'comparetext'
  resp = requests.post(endpoint, json=body)
  assert resp.status_code == 200, endpoint + " failed with status: " + str(resp.status_code)
  return float(resp.content) 

def comparelabel (text, concept_id, api=__ls_api):
  """
  Computes the semantic similarity between the given text string and a concept. Returns a score between [-1, 1].

  Parameters
  ----------
  text : string

  id : int
      The id of the concept to compare against the given text.

  api : string (default=cloud release endpoint)
      The endpoint you wish to hit for the concept labeling task. Default is the release version of the Microsoft Academic Language Similarity API.    
  """
  body = {
    "Text": text,
    "Label": concept_id
  }
  endpoint = api + 'comparelabel'
  resp = requests.post(endpoint, json=body)
  assert resp.status_code == 200, endpoint + " failed with status: " + str(resp.status_code)
  return float(resp.content)

# COMMAND ---------- 

def sendData():
    global projectName
    global userInsightfinder
    global licenseKey
    alldata["userName"] = userInsightfinder
    alldata["operation"] = "verify"
    alldata["licenseKey"] = licenseKey
    alldata["projectName"] = projectName
    json_data = json.dumps(alldata)
    #print json_data
    url = serverUrl + "/api/v1/agentdatahelper"
    print serverUrl
    try:
        response = requests.post(url, data = json.loads(json_data))
    except requests.ConnectionError, e:
        print "Connection failure : " + str(e)
        print "Verification with InsightFinder credentials Failed"
        sys.exit(1) 

def sendData():
    global projectName
    global userInsightfinder
    global licenseKey
    alldata["userName"] = userInsightfinder
    alldata["operation"] = "verify"
    alldata["licenseKey"] = licenseKey
    alldata["projectName"] = projectName
    json_data = json.dumps(alldata)
    #print json_data
    url = serverUrl + "/api/v1/agentdatahelper"
    print serverUrl
    try:
        response = requests.post(url, data = json.loads(json_data))
    except requests.ConnectionError, e:
        print "Connection failure : " + str(e)
        print "Verification with InsightFinder credentials Failed"
        sys.exit(1) 

def send_data(chunk_metric_data):
    """Sends metric data to InsightFinder backend"""
    send_data_time = time.time()
    # prepare data for metric streaming agent
    to_send_data_dict = dict()
    to_send_data_dict["metricData"] = json.dumps(chunk_metric_data)
    to_send_data_dict["licenseKey"] = agent_config_vars['licenseKey']
    to_send_data_dict["projectName"] = agent_config_vars['projectName']
    to_send_data_dict["userName"] = agent_config_vars['userName']
    to_send_data_dict["instanceName"] = socket.gethostname().partition(".")[0]
    to_send_data_dict["samplingInterval"] = str(int(reporting_config_vars['reporting_interval'] * 60))
    to_send_data_dict["agentType"] = "custom"

    to_send_data_json = json.dumps(to_send_data_dict)
    logger.debug("TotalData: " + str(len(bytearray(to_send_data_json))))

    # send the data
    post_url = parameters['serverUrl'] + "/customprojectrawdata"
    response = requests.post(post_url, data=json.loads(to_send_data_json))
    if response.status_code == 200:
        logger.info(str(len(bytearray(to_send_data_json))) + " bytes of data are reported.")
    else:
        logger.info("Failed to send data.")
    logger.debug("--- Send data time: %s seconds ---" % (time.time() - send_data_time)) 

def sendData(metricData):
    sendDataTime = time.time()
    # prepare data for metric streaming agent
    toSendDataDict = {}
    toSendDataDict["metricData"] = json.dumps(metricData)
    toSendDataDict["licenseKey"] = agentConfigVars['licenseKey']
    toSendDataDict["projectName"] = agentConfigVars['projectName']
    toSendDataDict["userName"] = agentConfigVars['userName']
    toSendDataDict["instanceName"] = socket.gethostname().partition(".")[0]
    toSendDataDict["samplingInterval"] = str(int(reportingConfigVars['reporting_interval'] * 60))
    toSendDataDict["agentType"] = "nfdump"

    toSendDataJSON = json.dumps(toSendDataDict)
    logger.debug("TotalData: " + str(len(bytearray(toSendDataJSON))))

    #send the data
    postUrl = parameters['serverUrl'] + "/customprojectrawdata"
    response = requests.post(postUrl, data=json.loads(toSendDataJSON))
    if response.status_code == 200:
        logger.info(str(len(bytearray(toSendDataJSON))) + " bytes of data are reported.")
        updateLastSentFiles(pcapFileList)
    else:
        logger.info("Failed to send data.")
    logger.debug("--- Send data time: %s seconds ---" % (time.time() - sendDataTime)) 

def send_data(metric_data):
    """ Sends parsed metric data to InsightFinder """
    send_data_time = time.time()
    # prepare data for metric streaming agent
    to_send_data_dict = dict()
    #for backend so this is the camel case in to_send_data_dict
    to_send_data_dict["metricData"] = json.dumps(metric_data)
    to_send_data_dict["licenseKey"] = config_vars['license_key']
    to_send_data_dict["projectName"] = config_vars['project_name']
    to_send_data_dict["userName"] = config_vars['user_name']
    to_send_data_dict["instanceName"] = socket.gethostname().partition(".")[0]
    to_send_data_dict["samplingInterval"] = str(int(config_vars['sampling_interval'] * 60))
    to_send_data_dict["agentType"] = "LogStreaming"

    to_send_data_json = json.dumps(to_send_data_dict)

    # send the data
    post_url = parameters['server_url'] + "/customprojectrawdata"
    response = requests.post(post_url, data=json.loads(to_send_data_json))
    if response.status_code == 200:
        logger.info(str(len(bytearray(to_send_data_json))) + " bytes of data are reported.")
    else:
        logger.error("Failed to send data.")
    logger.info("--- Send data time: %s seconds ---" % (time.time() - send_data_time)) 

def post(self, *args, **kwargs):
        kwargs['method'] = 'post'
        return self.do(*args, **kwargs) 

def _get_token(self):
        response = requests.post(self.AUTH_URL, data={'grant_type': 'client_credentials'}, auth=(self.id, self.secret))
        response.raise_for_status()
        return response.json()['access_token'] 

def _isAsthamaPump(self, imageWidth, imageHeight, imageString):
        result = {}
        coordinates = {}
        metadata = {}
        isPresent = False

        try :
            self._printLogs("Sending Image To DL Server...", "NORMAL")

            url = DL_SERVER_URL
            payload = {
                        "imageWidth"   : imageWidth,
                        "imageHeight"  : imageHeight,
                        "image_string" : base64.b64encode(imageString),
                        "imageID"      : self.imageNo2d
                        }
            headers = {'content-type': 'application/json'}

            res = requests.post(url, data=json.dumps(payload), headers=headers)
            result = res.json()
            self._printLogs("[*] Sent to  : " + str(url), "OKBLUE")
            self._printLogs("[*] Response : " + str(result), "OKBLUE")

        except Exception, err:
            self._printLogs("Error Found on connecting to server : " + str(err), "FAIL")
            self._printLogs("+", "LINE") 

def main():
    module = AnsibleModule(
      argument_spec = dict(
        host = dict(required=True),
        username = dict(required=True),
        password = dict(required=True)
      )
    )
    
    device = module.params.get('host')
    username = module.params.get('username')
    password = module.params.get('password')

    url='http://' + host + '/ins'
    switchuser=username
    switchpassword=password

    myheaders={'content-type':'application/json-rpc'}
    
    payload=[
      {
        "jsonrpc": "2.0",
        "method": "cli",
        "params": {
          "cmd": "show version",
          "version": 1.2
        },
        "id": 1
      }
    ]
    response = requests.post(url,data=json.dumps(payload), headers=myheaders,auth=(switchuser,switchpassword)).json()

    version = response['result']['body']['sys_ver_str']
    data = json.dumps({"version": version})
    module.exit_json(changed=False, msg=str(data)) 

def add(self, db, **kwargs):
        db_data = db.data.copy()
        db_data["functions"] = _filter_functions(db.data["functions"], **kwargs)
        data = pickle.dumps(db_data)
        result = requests.post("{:s}/function".format(self.url), files = {"file": BytesIO(data)})
        if result.status_code != 200:
            raise RuntimeError("Request failed with status code {:d}".format(result.status_code)) 

def find_raw(self, db, **kwargs):
        db_data = db.data.copy()
        db_data["functions"] = _filter_functions(db.data["functions"], **kwargs)
        data = pickle.dumps(db_data)
        result = requests.post("{:s}/function/find/raw".format(self.url), files = {"file": BytesIO(data)})
        if result.status_code == 200:
            return True
        elif result.status_code == 404:
            return False
        else:
            raise RuntimeError("Request failed with status code {:d}".format(result.status_code)) 

def find_mnem(self, db, **kwargs):
        db_data = db.data.copy()
        db_data["functions"] = _filter_functions(db.data["functions"], **kwargs)
        data = pickle.dumps(db_data)
        result = requests.post("{:s}/function/find/mnem".format(self.url), files = {"file": BytesIO(data)})
        if result.status_code == 200:
            return True
        elif result.status_code == 404:
            return False
        else:
            raise RuntimeError("Request failed with status code {:d}".format(result.status_code)) 

def main(args, env):
    response = requests.post("{:s}/whitelist".format(args.url), files = {"file": open(args.sample, "rb")})
    if response.status_code != 200:
        print("Server returned error {:d}: {:s}".format(response.status_code, response.content))