python - How to Make Status bar widget clickable and read only openerp 7.0 -

-

यह मेरा फ़ॉर्म दृश्य है 

  & lt; form string = "meeting information" version = "7.0" & gt; & LT; हैडर & gt; & Lt; फ़ील्ड नाम = "स्थिति" विजेट = "स्थितिबार" क्लिक करने योग्य = "1" / & gt; & Lt; / हैडर & gt; & LT; चादर & gt; & LT; समूह & gt; & Lt; समूह स्ट्रिंग = "विवरण" & gt; & Lt; क्षेत्र का नाम = "नाम" / & gt; & Lt; फ़ील्ड का नाम = "pro_date" / & gt; & Lt; क्षेत्र का नाम = "प्रकार" / & gt; & Lt; / समूह & gt; & Lt; समूह स्ट्रिंग = "अधिक विवरण" & gt; & Lt; फ़ील्ड नाम = "नोट्स" / & gt; & Lt; क्षेत्र का नाम = "pro_assign_to" / & gt; & Lt; फ़ील्ड नाम = "उपयोगकर्ता_सस्ता" / & gt; & Lt; / समूह & gt; & Lt; / समूह & gt; & Lt; / चादर & gt; & Lt; / प्रपत्र & gt;

जब स्थिति पट्टी आइटम done क्लिक किया जाता है, तो

चयन फ़ील्ड स्थिति 

  'status': fields.selection ([('draft', 'draft'), ('किया', 'संपन्न'),], 'प्रकार',),

pls help ..

अपने मॉडल क्षेत्रों परिभाषा में आपको जोड़ना होगा फ़ील्ड को केवल पढ़ने के लिए कोड का यह टुकड़ा कोई निश्चित स्थिति नहीं: 

  'नाम': fields.char ('आदेश संदर्भ', आकार = 64, आवश्यक = सत्य, केवल पढ़ने के लिए = सत्य, राज्य = 'ड्राफ्ट': [('पठन केवल', गलत)]], चुनें = सच),

जैसा कि आप देख रहे हैं readonly = true आपके फील्ड रीडोल हमेशा के लिए लेकिन , states = {'draft': [('readonly', False)]]} कोड का यह भाग व्यवहार जोड़ देगा जो फ़ील्ड केवल पढ़ने के लिए होगा = कुछ शर्त पर गलत।

यहां पढ़ने के बजाय के बजाय आप आवश्यक या अदृश्य

धन्यवाद

और


Comments

Post a Comment

Popular posts from this blog

Active Directory Authenticated Proxy Server with Squid or CNTLM -

-
I need to configure a proxy server for a local network that authenticates with Active Directory and gives me access The control list enables you to configure the domain groups within AD. I am using: Static with Squid 2.7: Windows 2008 Server R2 I have followed this guide here: The proxy does not currently ask for any Active Directory accounts, as soon as I add the following lines, it starts denying this connection: ACL localnet proxy_auth Required src 192.168. 0.0 / 24 http_access permission localname This is my squid.conf: pastebin.com/ERuKtirc I see logs and 'none' or 'direct' L It comes together TCP_DENIED message 1415014073.069 1 192.168.0.63 TCP_DENIED / 407/1904 Received / -. None / - Text / html 1415014073.07 9 4 192.168.0.63 TCP_DENIED / 407 2304 Received / - None / - Text / html 1415014073.084 2 192.168.0.63 TCPDAD / 407 1904 Received / - None - - Text / html itemprop = "text"> This proxy returns a 407 request with a browse...
Read more

java - @PluginTarget(Node.class) not registering as neo4j plugin -

-
Simple class below will not show as a plugin package com.danmacias neoneoteplugin ; Import java.util.ArrayList; Import java.util.list; Import org.neo4j.graphdb. *; Import org.neo4j.server.plugins *; Import org.neo4j.graphalgo *; // import org.neo4j.tooling.GlobalGraphOperations; @ Description (expansion of Neo4j server to achieve all nodes or relationships) Public class GetPaths expanded the server plugin {@ name ("breadth_first_paths") @ Description ("first wide travel traversal of specific node"). @plugin target (node ​​class) public shaky & lt; Path & gt; GetPaths (@ Source Node Graphidi) {ArrayList & lt; Path & gt; Path = new arreelist & lt; & Gt; (); Return path; }} curl return {"extension": {"GetAll": {"get_all_nodes": "http: // localhost: 7474 / db / ext / GetAll / graphdb / get_all_nodes "} ...}, But when I Node.class both conditions GraphDatabaseService I change with Class ,...
Read more

python - Calculate STD manually using Groupby Pandas DataFrame -

-
Image
I was trying to write a solution, which is a different and a manual for calculating a mean and STD The way. I have created a = ["Apple", "Banana", "Cherry", "Apple"] B = [3,4,7,3] C = [5,4,1,4] D = [7,8,3,7] Pd DF = PD to import pandals DataFrame (index = class (4), column = list ("ABCD")) DF ["A"] = A DF ["B"] = BDF ["C"] = C DF ["D"] = D Again, I made a list of A duplication. Then I went through the group all the time of the objects and calculated the solution. import as np l = list (set (df.A)) df.groupby ('A', As_index = False) listMean = [0] * len (df.C) ListSTD = [0] * L in the LAN (df.C) X: s = np.mean (df [df ['A'] == x] for C =.) = Z = [index for index, enumerate In the object (df ['a']. Value] x == item i for z: listMean [i] = s in: s = np.std (df [df ['a'] == X] .cvalues) z = index for index, enumerate item (df ['a']. Value) if x ==...
Read more