Repository: gaoliang/pypushdeer (language: python)

Issue:
请问发送BASE64编码图片功能可用么?
```
pushdeer.send_image(
    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""")
```
报错
```
File "/Users/thinkpad/code/pushbeer/fa.py", line 15, in <module>
    pushdeer.send_image(
  File "/Users/thinkpad/Library/Python/3.9/lib/python/site-packages/pypushdeer/pypushdeer.py", line 75, in send_image
    return self._push(text=image_src, desp=desp, server=server, pushkey=pushkey, text_type='image')
  File "/Users/thinkpad/Library/Python/3.9/lib/python/site-packages/pypushdeer/pypushdeer.py", line 23, in _push
    res = self._send_push_request(desp, pushkey or self.pushkey, server or self.server, text, text_type)
  File "/Users/thinkpad/Library/Python/3.9/lib/python/site-packages/pypushdeer/pypushdeer.py", line 34, in _send_push_request
    return requests.get(server + self.endpoint, params={
  File "/Users/thinkpad/Library/Python/3.9/lib/python/site-packages/requests/models.py", line 975, in json
    raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
```

应该如何转换图片，谢谢


Discussion / hints:

Fix patch:
diff --git a/setup.py b/setup.py
index 8edaa84..6197822 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,7 @@
     description="PushDeer for Python",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    
+
     url="https://github.com/gaoliang/pypushdeer",
     project_urls={
         "Bug Tracker": "https://github.com/gaoliang/pypushdeer/issues",
@@ -25,4 +25,4 @@
     package_dir={"": "src"},
     packages=setuptools.find_packages(where="src"),
     python_requires=">=3.6",
-)
\ No newline at end of file
+)
diff --git a/src/pypushdeer/pypushdeer.py b/src/pypushdeer/pypushdeer.py
index a0de039..0bacff0 100644
--- a/src/pypushdeer/pypushdeer.py
+++ b/src/pypushdeer/pypushdeer.py
@@ -1,13 +1,11 @@
-from typing import Optional
-
+import json
+from typing import Optional, Union
 import requests
 
 
 class PushDeer:
     server = "https://api2.pushdeer.com"
-
     endpoint = "/message/push"
-
     pushkey = None
 
     def __init__(self, server: Optional[str] = None, pushkey: Optional[str] = None):
@@ -16,33 +14,86 @@ def __init__(self, server: Optional[str] = None, pushkey: Optional[str] = None):
         if pushkey:
             self.pushkey = pushkey
 
-    def send_text(self, text: str, server: Optional[str] = None, pushkey: Optional[str] = None):
-        if not pushkey and not self.pushkey:
-            raise ValueError("pushkey must be specified")
-
-        requests.get(server or self.server + self.endpoint, params={
-            "pushkey": self.pushkey or pushkey,
-            "text": text,
-            "type": "text"
-        })
-
-    def send_markdown(self, text: str, server: Optional[str] = None, pushkey: Optional[str] = None):
+    def push(self, text: str, desp: Optional[str] = None, server: Optional[str] = None,
+             pushkey: Union[str, list, None] = None, text_type: Optional[str] = None):
+        """
+        Basic method of calling /message/push API
+        @param text_type:
+        @param text:
+        @param desp:
+        @param server:
+        @param pushkey:
+        @return:
+        """
         if not pushkey and not self.pushkey:
             raise ValueError("pushkey must be specified")
+        if type(pushkey) is list:
+            count = 0
+            for key in pushkey:
+                r_json = self.send_push_request(desp, key, server, text, text_type)
+                if r_json["content"]["result"]:
+                    result = json.loads(r_json["content"]["result"][0])
+                    if result["success"] == 'ok':
+                        count += 1
+                    else:
+                        pass
+                else:
+                    return False
+            if count == len(pushkey):
+                return True
+            else:
+                return False
+        else:
+            r_json = self.send_push_request(desp, pushkey, server, text, text_type)
+            if r_json["content"]["result"]:
+                result = json.loads(r_json["content"]["result"][0])
+                if result["success"] == "ok":
+                    return True
+                else:
+                    return False
+            else:
+                return False
 
-        requests.get(server or self.server + self.endpoint, params={
-            "pushkey": self.pushkey or pushkey,
+    def send_push_request(self, desp, key, server, text, text_type):
+        return requests.get(server or self.server + self.endpoint, params={
+            "pushkey": self.pushkey or key,
             "text": text,
-            "type": "markdown"
-        })
+            "type": text_type,
+            "desp": desp,
+        }).json()
 
-    def send_image(self, image_url_or_base64: str, server: Optional[str] = None, pushkey: Optional[str] = None):
+    def send_text(self, text: str, desp: Optional[str] = None, server: Optional[str] = None,
+                  pushkey: Union[str, list, None] = None):
+        """
+        Any text are accepted when type is text.
+        @param text: message : text
+        @param desp: the second part of the message
+        @param server: optional server http address
+        @param pushkey: PushDeer pushkeys, multiple pushkey use list of string, single pushkey use string
+        @return: Boolean
+        """
+        return self.push(text=text, desp=desp, server=server, pushkey=pushkey, text_type='text')
 
-        if not pushkey and not self.pushkey:
-            raise ValueError("pushkey must be specified")
+    def send_markdown(self, text: str, desp: Optional[str] = None, server: Optional[str] = None,
+                      pushkey: Union[str, list, None] = None):
+        """
+        Text in Markdown format are accepted when type is markdown.
+        @param text: message : text in Markdown
+        @param desp: the second part of the message
+        @param server: optional server http address
+        @param pushkey: PushDeer pushkeys, multiple pushkey use list of string, single pushkey use string
+        @return: Boolean
+        """
+        return self.push(text=text, desp=desp, server=server, pushkey=pushkey, text_type='markdown')
 
-        requests.get(server or self.server + self.endpoint, params={
-            "pushkey": self.pushkey or pushkey,
-            "text": image_url_or_base64,
-            "type": "image"
-        })
+    def send_image(self, image_url: str, desp: Optional[str] = None, server: Optional[str] = None,
+                   pushkey: Union[str, list, None] = None):
+        """
+        Only image url are accepted by API now, when type is image.
+        @param image_url: message : image URL
+        @param desp: the second part of the message
+        @param server: optional server http address
+        @param pushkey: PushDeer pushkeys, multiple pushkey use list of string, single pushkey use string
+        @return: Boolean
+        """
+        return self.push(text=image_url, desp=desp, server=server, pushkey=pushkey, text_type='image')


Test patch:
diff --git a/test/test_pypushdeer.py b/test/test_pypushdeer.py
new file mode 100644
index 0000000..d10e6c5
--- /dev/null
+++ b/test/test_pypushdeer.py
@@ -0,0 +1,23 @@
+from unittest import TestCase, mock
+
+success = {'code': 0, 'content': {'result': ['{"counts":1,"logs":[],"success":"ok"}']}}
+fail = {'code': 0, 'content': {'result': []}}
+
+
+class TestPushDeer(TestCase):
+    def test_send_text_success(self):
+        from pypushdeer import PushDeer
+        pushdeer = PushDeer()
+        pushdeer.send_push_request = mock.Mock(return_value=success)
+        self.assertTrue(pushdeer.send_text("text list test", pushkey=['key1', 'key2']))
+        self.assertTrue(pushdeer.send_text("text test", pushkey='key'))
+
+    def test_send_text_fail(self):
+        from pypushdeer import PushDeer
+        pushdeer = PushDeer()
+        pushdeer.send_push_request = mock.Mock(return_value=fail)
+        self.assertFalse(pushdeer.send_text("text list test", pushkey=['key1', 'key2']))
+        self.assertFalse(pushdeer.send_text("text test", pushkey='key'))
+        pushdeer.send_push_request = mock.Mock(return_value=success)
+        with self.assertRaises(ValueError):
+            pushdeer.send_text("no pushkey")