Team:HFUT-China/Documents
Unit Test
- Method Name: createFolder
- Function: create a new folder
- Input: contentType - that need to save in the folder
- Output: basePath-new folder path
- Test Use Case:
| Use Case ID | Test Target | ContentType | Expectation Result | Finial Result | Accept |
| 1 | get correct path when contentType is none | None | /../downloads/2015/8/6/ | TypeError: cannot concatenate 'str' and 'NoneType' objects | YES |
| 2 | get correct path when contentType is "" | "" | /../downloads/2015/8/6/ | /../downloads/2015/8/6// | YES |
| 3 | if directory was exist and contentType are correct , new folder wouldn't cover the old directory. | 'image' | don't cover | don't cover | YES |
| 4 | it's successful to create new directory at first time when the contentType is correct | 'image' | create successfully | create successfully | YES |
For more information about unit test result, please download documents from HERE
Releases
2015.5.30: First prototype
Account module finished. Basic design with basic part recommendation finished
2015.7.1: Second prototype
Recommendation improved, UI updated
2015.7.20: Third Prototype
System recommendation added. Performance improvements
2015.8.20: Alpha version
Simulation added, system recommendation improved, performance improved
2015.8.30: Beta version
Simulator improved. Register opened
2015.9.15 Version 1.0
Function all completed
API
design.recommend module¶
implement recommend for parts
@author: Bowen, Ray, Yu
-
design.recommend.getApriorRecommend(chainStr, funcStr=None)[source]¶ -
get recommendations with aprior algorithm
@param chainStr: part chain @type chainStr: str @return : recommendations @rytpe: dict
-
design.recommend.getMarkovRecommend(part_id)[source]¶ -
get recommendations with Markov algorithm
@param part_id: part id @type part_id: str @return : recommendations @rytpe: dict
-
design.recommend.get_chain(elem, num, process)[source]¶ -
get chain which had predicted
according to information in process, get the chain from first element to elem variable and save the chain in a list
- args:
- elem: the last element in chain num: the line number in process process: a variable record the predict process
- return:
- a chain from first to elem variable
-
design.recommend.predict(m, count, s, A)[source]¶ -
predict the chain after s
calculate the probability of a m-length chain, then return chains. CAUTION the number of chains maybe less then count
- args:
- m: the length of predict chain count: the number of predict chain s: the last element of the current chain A: transition matrix
- return:
- some chains save in list
For more api documents, download from Here
Public API
Search a part with keywords
GET
/home/search?keyword={your keyword}
Search a part with keywords and functions
GET
/home/search?keyword={your keyword}&func={function id}
Get a part's information
GET
/home/get?partname={part name}
Get functions
GET
/home/getTrackFunctions?track_id={track id}
Get tracks
GET
/home/tracks
Do simulation
POST
/home/simulate
Simulator post data format
{
'reactions' : [ // reactions
{
'reactants' : [{reactants in a list}],
'products' : [{resultants in a list}],
'k' : {reaction rate}
},
],
'martials':[ // init compounds
[{compound name}, {amount}],
],
'reaction_time': {reaction time for simulator}
}
Get part sequence recommendations
GET
/home/seqRecommend?part={part id}
Get related part recommendations (Aprior)
/home/arecommmend?seq={part id seperate with '_'}